diff --git a/hamlib/README.md b/hamlib/README.md
index f43ff7b6..3414fc56 100644
--- a/hamlib/README.md
+++ b/hamlib/README.md
@@ -1,68 +1,176 @@
-# Hamiltonian Simulation - Prototype Benchmark Program
+# HamLib Simulation - Benchmark Program
 
-Simulation of quantum systems is one of the most promising applications for quantum computers [[1]](#references). In the current version of this benchmark, we compare the quantum simulation against a classical simultion of the same circuit in order to report our fidelity. This works well for small circuit sizes, but is not scalable past a certain number of qubits. Additionally, we can now only run specific circuits, rather than random ones, limiting the ability of this benchmark to completely characterize real uses cases of the Hamiltonian simulation algorithm. We have some suggested modifications to this benchmark which we outline and explain why we did not chose to use them at this time in the section [Proposed Improvements](#Proposed-Improvements).
+Simulation of quantum systems is one of the most promising applications for quantum computers [[1]](#references). In the current version of this benchmark, we have three strategies for calculating the fidelity of a quantum Trotterization circuit. 
+
+In the first strategy, we compare the trotter circuit results on target hardware against a classical circuit simulation to report our fidelity. This works well for small circuit sizes but is not scalable past a certain number of qubits. 
+
+In the second strategy, we compare the trotter circuit results against a classical simulation of the exact Hamiltonian dynamics to report our fidelity. Again, this is not scalable.
+
+In the third strategy, we use the mirror circuits method developed by Sandia Laboratories [[2]](#references). This technique constructs a mirror circuit, which is a base circuit followed by a reverse circuit. It produces an easy to verify correct distribution that still reflects the effectiveness of the original circuit. This is scalable to all qubit sizes. 
+
+This benchmark is a more advanced version of the existing Hamiltonian Simulation Benchmark. It offers the user several Hamiltonians to simulate from Hamlib [[3]](#references), a comprehensive dataset of qubit-based Hamiltonians. It also offers a more complete version of the mirror circuits method that offers techniques such as implementing a random Pauli layer and random initial state to reduce unintentional error effects from the circuit mirroring.  
 
 ## Problem outline
 
-This benchmark is written as a simulation of non-trivial Hamiltonians. It is constrained to model a linear chain of interacting bodies with an open boundary condition. Our Hamiltonians of interest are the **Heisenberg model with disordered fields** and the **Transverse Field Ising Model (TFIM)**, both with open boundary conditions.
+This benchmark is written as a simulation of non-trivial Hamiltonians from Hamlib. It currently supports the following Hamiltonians: The Fermi-Hubbard Model, the Bose-Hubbard Model, the Heisenberg Model, the Transverse Field Ising Model, and the Max3Sat problem. The first four problems have only been implemented in their 1D cases. However, the benchmark can be easily generalized to benchmark any of the other Hamiltonians classes from Hamlib. 
 
-**For the Heisenberg Hamiltonian**, we start the system in an easily preparable classical state $|\psi(0)\rangle\equiv|010101\ldots\rangle$. **For the Transverse Field Ising Model (TFIM)**, we start the system in a GHZ state  $|\psi(0)\rangle = \left| \text{GHZ} \right\rangle = \frac{1}{\sqrt{2}} \left( |0\rangle^{\otimes n} + |1\rangle^{\otimes n} \right)$, where $n$ is equivalently the number of spins or qubits. In either case, we aim to evolve the system for $t$ time according to the solution to the Schrödinger equation with $H$ constant,
+The benchmark evolves an initial state according to a Hamiltonian $H$. The benchmark has two possible initial states, the checkerboard state $|\psi(0)\rangle\equiv|010101\ldots\rangle$ or the GHZ state  $|\psi(0)\rangle = \left| \text{GHZ} \right\rangle = \frac{1}{\sqrt{2}} \left( |0\rangle^{\otimes n} + |1\rangle^{\otimes n} \right)$, where $n$ is equivalently the number of spins or qubits. In either case, we aim to evolve the system for $t$ time according to the solution to the Schrödinger equation with $H$ constant,
 
 $$
 |\psi(t)\rangle=e^{-i{H}t}|\psi(0)\rangle
 $$
 
-
 where we set <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}\hbar=1"> here and elsewhere.
 
-### Heisenberg Model
+**The following Hamiltonians are currently supported. See the Benchmarking section below to see how to select them. For the physical models, only the 1D cases have been implemented thus far.** 
 
-<p align="center">
-<img src="https://latex.codecogs.com/svg.latex?\pagecolor{white}H=J\sum_{i=0}^{N-2}(\sigma^x_i\sigma^x_{i+1}+\sigma^y_i\sigma^y_{i+1}+\sigma^z_i\sigma^z_{i+1})+w\sum_{i=0}^{N-1}(h_{x,i}\sigma^x_i+h_{z,i}\sigma^z_i)"/>
-</p>
+### Fermi-Hubbard Model
+
+The Fermi-Hubbard Hamiltonian models the dynamics of fermions on lattice sites and is given by
+
+$$
+H_{FH} = -t \sum_{\langle i, j \rangle, \sigma} (c_{i,\sigma}^\dagger c_{j,\sigma} + c_{j,\sigma}^\dagger c_{i,\sigma}) + U \sum_i n_{i,\uparrow} n_{i,\downarrow},
+$$
 
-Where <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}J"/> is the strength of the interaction, <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}w"/> is the strength of the disordered fields, <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}h_{x,i}"/> and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}h_{z,i}"/> give the strength of the x and z disorded fields at site <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}i"/>, and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}\sigma^{\{x,y,z\}}_i"/> are the usual Pauli operators acting on site <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}i"/>. We will use the notation <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}\{X_i,Y_i,Z_i\}\equiv\sigma^{\{x,y,z\}}_i"/> interchangably throughout this explanation.
+where $\langle i, j \rangle$ denotes adjacent lattice sites $i$ and $j$, $\sigma$ represents the fermion spin, $c$ and $c^\dagger$ are the fermionic annihilation and creation operators, respectively, and $n_{j,\sigma} = c_{j,\sigma}^\dagger c_{j,\sigma}$ is the number operator. The first term of the Hamiltonian describes the tunneling of fermions between adjacent sites with amplitude $t$, representing the noninteracting dynamics, while the second term captures the on-site fermion interaction with strength $U$.
 
-The first sum represents the **interaction terms**, wheras the second sum represents the **disordered field terms** (see Fig 1.)
+For our benchmarks, we only use the 1D Fermi-Hubbard model but allow varying $U$ and $t$.
 
-In our benchmarks, currently both $J=1$ and $w=1$.
+### Bose-Hubbard Model
 
-### Transverse Field Ising Model (TFIM)
+The Bose-Hubbard model is expressed as
 
-The TFIM Hamiltonian is given by:
+$$
+H_{BH} = -t \sum_i (b_i^\dagger b_{i+1} + b_{i+1}^\dagger b_i) + \frac{U}{2} \sum_i n_i(n_i - 1),
+$$
+
+where $b_i^\dagger$ and $b_i$ denote the creation and annihilation operators respectively, $n_i = b_i^\dagger b_i$ represents the number operator at site $i$, $t$ is the tunneling strength (assumed to be $t = 1$ in this dataset), and $U$ is the interaction energy per site.
+
+### Heisenberg Model
+
+We implement the following Hamiltonian for the quantum Heisenberg model:
 
 $$
-H= J\sum_{i=0}^{N-2}\sigma^z_i\sigma^z_{i+1} + h\sum_{i=0}^{N-1}\sigma^x_i
+H_{\text{Heis}} = \sum_{i=1}^{N} (\vec{\sigma}_i \cdot \vec{\sigma}\_{i+1} + h Z_i).
 $$
 
-Where <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}J"/> is the coupling strength between neighboring spins, and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}h"/> is the strength of the transverse field.
+where $\vec{\sigma}_i = (X_i, Y_i, Z_i)$. This Hamiltonian, known as the Heisenberg XXX model, incorporates an external magnetic field represented by $h$, where $h$ modulates the strength of the magnetic field interaction along the Z-axis of each spin.
 
-In our benchmarks, currently both $J=1$ and $h=.2$.
+### Transverse Field Ising Model (TFIM)
 
-## Benchmarking
-The Hamiltonian Simulation algorithm is benchmarked by running **just a single circuit**. This circuit is repeated a number of times denoted by `num_shots`. We then run the algorithm circuit for numbers of qubits between `min_qubits` and `max_qubits`, inclusive. The test returns the averages of the circuit creation times, average execution times, fidelities, and circuit depths, like all of the other algorithms. 
+The Hamiltonian for this model is expressed as
+
+$$
+H = \sum_i h_i X_i + \sum_{\langle i, j \rangle} Z_i Z_j,
+$$
 
-After running the Hamiltonian Simulation circuit, there are two options for how to produce the fidelity metric, both of which use a precalculated distribution to compare to the Hamiltonian Simulation results. Method = 1 uses a distribution from a noiseless simulation of the trotterized quantum circuit. For this method, if the benchmark is also run on a noiseless simulation, with a high number of shots, the fidelity should be high. Method = 2 uses a classical matrix technique to simulate the evolution of the hamiltonian directly. Wheras method = 1 more directly tests the hardware, method = 2 also tests the accuracy of the hamiltonian simulation algorithm itself. 
+where the summation extends over each edge $\langle i, j \rangle$ within the lattice.
 
-In either case, we compare the resultant distribution using our [noise-normalized fidelity calculation](../_doc/POLARIZATION_FIDELITY.md).
+### Max3Sat Problem
 
-We calculate these expected distributions in the jupyter notebook `precalculated_data.ipynb`, which stores the results for up to 20 qubits in the `precalculated_data.json` data file. The python code then imports the distributions from the `json` file. This is a less than ideal fidelity calculation as it does not scale to any size of qubits. It requires the classical simulation of matrix products, which requires resources exponential in number of qubits. 
+To represent a 3-SAT problem in quantum computing, one constructs a Hamiltonian by summing terms involving three variables. If no negations are included, the Hamiltonian for a clause $(x_i \lor x_j \lor x_k)$ is represented as:
 
-In the `precalculated_data.ipnyb`, we set the trotterization steps (k) to 5 and the time to .2. For the Heisenberg Hamiltonian, $w$ is set to 1 but $J$ is hard-coded to 1. For TFIM, the Hamiltonian variables are both hard-coded to $J=1$ and $h=.2$ respectively. 
+$$
+x_i \lor x_j \lor x_k = I - \frac{1}{8} (I + Z_i)(I + Z_j)(I + Z_k),
+$$
+
+where $I$ is the identity matrix and $Z$ denotes the Pauli-Z operator, reflecting the influence of each variable in the clause.
+
+## Benchmarking
+The Hamlib Simulation algorithm is benchmarked, in most cases, by running **just a single circuit (see Mirror Method Circuit Section for the exception.**) This circuit is repeated a number of times denoted by `num_shots`. We then run the algorithm circuit for numbers of qubits between `min_qubits` and `max_qubits`, inclusive. The test returns the averages of the circuit creation times, average execution times, fidelities, and circuit depths, like all of the other algorithms. 
+
+There are currently three methods for how to produce the fidelity metric. All three methods evolve a state and create a metric based on how well the state evolved. 
+
+In all three methods, by default, we set the trotterization steps (k) to 5 and the total time to 1, but these can be set to different values at the user's discretion.  
+
+The first two methods evolve an initial state a time $t$ and compare the final state against a correct distribution. Method = 1 creates the correct distribution from a noiseless simulation of the Hamiltonian Simulation quantum circuit. Method = 2 creates a correct distribution from a classical matrix technique to simulate the evolution of the Hamiltonian directly. Whereas method = 1 only tests the performance of the hardware, method = 2 also tests the accuracy of the Hamiltonian simulation itself. 
+
+These correct distributions are created on-the-fly as the benchmarks are run. (This is unlike the Hamiltonian Simulation Benchmark, which uses precalculated distributions.) This is a less than ideal fidelity calculation as it does not scale to any size of qubits. It requires the classical simulation of matrix products, which requires resources exponential in the number of qubits. 
+
+Method = 3 uses a mirror circuit built using the Hamiltonian Simulation circuit, designed so that the correct distribution is trivial. It applies first the circuit, then the reverse of the circuit, so that the final state should be the (trivial) initial state. There are additional options to use a layer of random Paulis in the middle and/or a random initial state to increase generality and resistance to unintentional error effects from the structure of mirroring. **See the Mirror Circuit section below for more details.** This method scales to any size of qubits, since the correct distribution is easy to calculate.  
+
+In all cases, we compare the resultant distribution using our [noise-normalized fidelity calculation](../_doc/POLARIZATION_FIDELITY.md).
+
+In the run() method for the benchmark, several optional arguments can be specified. Some of the key parameters are as follows: 
+```
+Parameters 
+---- 
+min_qubits (int): Minimum number of qubits for the simulation. 
+                  The smallest circuit is 2 qubits.
+max_qubits (int): Maximum number of qubits for the simulation.
+max_circuits (int): Maximum number of circuits to execute per group.
+skip_qubits (int): Increment of number of qubits between simulations.
+num_shots (int): Number of measurement shots for each circuit execution.
+hamiltonian (str): The type of Hamiltonian to simulate. Default is "tfim".
+                    Options include:
+                    - "tfim": Transverse Field Ising Model.
+                    - "heis": Heisenberg model.
+                    - "random_max3sat-hams": Random Max 3-SAT Hamiltonians for binary optimization problems.
+                    - "FH_D-1": Fermi-Hubbard model in 1D
+                    - "BH_D-1_d-4": Bose-Hubbard model in 1D
+method (int): Method for fidelity checking. 
+              Options include:
+              - 1: Noiseless Trotterized Quantum Simulation.
+              - 2: Exact Classical Simulation.
+              - 3: Mirror Circuit Simulation using Sandia Labs' method.
+random_pauli_flag (bool): If True and method is 3, activates random Pauli gates in the circuit.
+random_init_flag (bool): If True, initializes random quantum states. 
+                          Only active if random_pauli_flag is True and method is 3.
+use_inverse_flag (bool): If True, uses the inverse of the quantum circuit rather than the original circuit.
+do_sqrt_fidelity (bool): If True, computes the square root of the fidelity for measurement results.
+init_state (str): Specifies the initial state for the quantum circuit. 
+                  If None, a default state is used.
+K (int): Number of Trotter steps for the simulation. 
+          This is a crucial parameter for the precision of the Trotterized simulation.
+t (float): Total simulation time. This parameter is used to determine the evolution time for the Hamiltonian.
+```
+You can run the code by passing various arguments to execute a desired Hamiltonian with a specific method in either a noisy or noiseless model. Below are some key arguments available for this benchmark:
+
+| Parameters              | Arguments  | Description                                                                 | Default Value |
+|-------------------------|------------|-----------------------------------------------------------------------------|---------------|
+| `--num_shots`           | `-s`       | Number of measurement shots for each circuit execution                      | `100`         |
+| `--num_qubits`          | `-n`       | Number of qubits (sets both min and max qubits to the same value)           | `0`           |
+| `--min_qubits`          | `-min`     | Minimum number of qubits for the simulation                                 | `3`           |
+| `--max_qubits`          | `-max`     | Maximum number of qubits for the simulation                                 | `8`           |
+| `--max_circuits`        | `-c`       | Maximum number of circuit repetitions                                       | `1`           |
+| `--method`              | `-m`       | Algorithm Method (1 for noiseless, 2 for classical, 3 for mirror circuit)   | `1`           |
+| `--nonoise`             | `-non`     | Use Noiseless Simulator (enables a noiseless model for the simulation)      | `False`       |
+| `--time`                | `-time`    | Total time of evolution for the Hamiltonian simulation                      | `1`           |
+| `--num_steps`           | `-steps`   | Number of Trotter steps for the simulation                                  | `5`           |
+| `--random_pauli_flag`   | `-ranp`    | Generate random Pauli gates in the circuit                                  | `False`       |
+| `--random_init_flag`    | `-rani`    | Generate random initial states for the simulation                           | `False`       |
+| `--init_state`          | `-init`    | Initial state for the quantum circuit (e.g., GHZ, Checkerboard)             | `None`        |
+
+Example Command
+
+Here’s how you can run the script with specific parameters:
+
+```
+python hamlib_simulation_benchmark.py -n 5 -init ghz -m 3 -ranp -non
+```
+
+Explanation:
+```
+    -n 5: Specifies the use of 5 qubits for the simulation (sets both min_qubits and max_qubits to 5).
+    -init ghz: Sets the initial state to GHZ.
+    -m 3: Applies Method 3, which involves using mirror circuits.
+    -ranp: Activates random Pauli gates in the circuit.
+    -non: Runs the simulation in a noiseless model.
+```
 
 ## Classical algorithm
 
-Much effort has been done in the field of many-body physics to understand the approximate behaviors of Hamiltonians like the ones we have here. However, to calculate the evolution of an excited state through exact diagonalization scales approximately as <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}O(2^{3n})"> for <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}n"> qubits, quite poor scaling [[2]](#references). This quickly becomes intractible even utilizing extremely powerful classical supercomputers.
+Much effort has been made in the field of many-body physics to understand the approximate behaviors of Hamiltonians like the ones we have here. However, to calculate the evolution of an excited state through exact diagonalization scales approximately as <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}O(2^{3n})"> for <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}n"> qubits, quite poor scaling [[4]](#references). This quickly becomes intractable even utilizing extremely powerful classical supercomputers.
 
 ## Quantum algorithm
 
-To run this algorithm on our quantum computer, we need to find a way to apply the unitary <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}U(t)\equiv{e}^{-i{H}t}"/> through a combination of quantum gates. In order to approximate this operator, we use Trotterization [[3]](#references), where we note that Lie product formula gives
+To run this algorithm on our quantum computer, we need to find a way to apply the unitary <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}U(t)\equiv{e}^{-i{H}t}"/> through a combination of quantum gates. In order to approximate this operator, we use Trotterization [[5]](#references), where we note that Lie product formula gives
 
 <p align="center">
 <img src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{-i{\sum_j{H}_j}t}=\lim_{k\rightarrow\infty}\left(\prod_j{e}^{-iH_j{t}/k}\right)^k"/>.
 </p>
 
-If we take <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}k"/> to be finite, this is called Trotterization. This has a gate complexity of <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}O(n^5)"/>, which is an exponential speedup. We can then apply successive layers of by exponentiating the individual terms in the Hamiltonian to approximate the evolution of any state. This makes the simulation easier, as it is much easier to calculate the gates which apply <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta\sigma^x_0\sigma^x_1}"/> and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta\sigma^x_1\sigma^x_2}"/> than to find the gates which apply <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta(\sigma^x_0\sigma^x_1+\sigma^x_1\sigma^x_2)}"/>. This process can be visualized in the circuit diagram below for the **Heisenberg Hamiltonian** with a single step.
+If we take <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}k"/> to be finite, this is called Trotterization. This has a gate complexity of <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}O(n^5)"/>, which is an exponential speedup. We can then apply successive layers by exponentiating the individual terms in the Hamiltonian to approximate the evolution of any state. This makes the simulation easier, as it is much easier to calculate the gates which apply <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta\sigma^x_0\sigma^x_1}"/> and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta\sigma^x_1\sigma^x_2}"/> than to find the gates which apply <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{i\theta(\sigma^x_0\sigma^x_1+\sigma^x_1\sigma^x_2)}"/>. This process can be visualized in the circuit diagram below for the **Heisenberg Hamiltonian** with a single step.
 
 ### General Quantum Circuit
 
@@ -72,35 +180,25 @@ If we take <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolo
 
 *Fig 1. Example of circuit with 1 Trotter step. We can see that our <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}\sigma^x_i"/> and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}\sigma^y_i"/> turned into Rx and Ry gates, while the two qubit interactions turned into the gates that result from exponentiating these terms in the Hamiltonian. Note that this circuit application is less efficient than applying the XX, YY, and ZZ operations all at once.*
 
-<p align="center">
-<img align=center src="../_doc/images/hamiltonian-simulation/ham_sim_full_circuit.png"  width="700" />
-</p>
-
-*Fig 2. Circuit with 2 Trotter steps and the optimal XXYYZZ operator.*
-
 ### Algorithm Steps
 
-1. Initialize qubits in alternating state <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}|\psi(0)\rangle\equiv|010101\ldots\rangle"/>.
+1. Initialize qubits in either Checkerboard or GHZ state.
 
 2. Build the Trotter step layer.
+   
+3. Apply the Hamiltonian as Trotter step layers for as many Trotter steps were chosen.
 
-3. Apply the Trotter step layer for as many Trotter steps were chosen.
+4. Check if method == 3. If True, apply mirror circuit.
 
-4. Measure out all of the qubits
+5. Measure out all of the qubits
 
-## Gate Implementation
-
-There are two options of circuit creation for this simulation:
-
-- **Default:** Optimal implementation of <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(XX+YY+ZZ)}"/>, used as the default. See [[4]](#references) for reasoning for why this is the optimal application of gates.
+6. Compare the measured distribution with the distribution from specific methods.
 
-- **use_XX_YY_ZZ_gates:** Simple implementation of <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(XX)}"/>, <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(YY)}"/>, and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(ZZ)}"/>, provided for reference purposes and validation of the optimal implementation. In essence, we initially generate <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(ZZ)}"/> using two CNOT gates and an RZ gate. We then apply the XX and YY versions of this gate by providing a basis change from Z to X and from Z to Y, using Hadamard gates for the X transformation and using S and Hadamard gates for the Y transformation respectively. These circuits are below. It is possible to use this type of gates by passing `use_XX_YY_ZZ_gates=True` to the `run()` function.
+7. Get the metrics like fidelity, circuit depth, time of execution, etc.
 
-<p align="center">
-<img align=center src="../_doc/images/hamiltonian-simulation/XXYYZZ_gate.png"  />
-</p>
+## Gate Implementation
 
-*Fig 3. Optimal gate which applies <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(XX+YY+ZZ)}"/>.*
+Circuit creation is handled by `qiskit_algorithms`. Simple implementation of the Pauli exponential gates used are shown below.
 
 ---
 
@@ -126,40 +224,30 @@ There are two options of circuit creation for this simulation:
 
 *Fig 6. Naive <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}e^{it(YY)}"/> gate.*
 
-## Proposed Improvements
 
-Our suggested method of modifying this benchmark involves a topic taken from condensed matter called *many-body localization* [[2]](#references) [[5]](#references). The essence of this phenomenon is that for certain closed quantum systems, some excited states fail to thermalize as expected. 
+## Mirror Circuit Method:
+
+The primary goal of implementing the mirror circuit methods is to create accurate and scalable benchmarks for the Hamiltonian Simulation circuits. There are several options for how the mirror circuits are constructed. By default, a mirror circuit consists of an initial state, the Trotterized Hamiltonian simulation circuit, and then the inverse of the Trotterized circuit. In this case, the correct distribution is simply the starting state.
+
+The first option to consider is to apply a randomized Pauli layer in the center of the circuit. This layer is designed to lessen error propagation between the two halves of the circuit, improving the accuracy of the simulation since we are only interested in the error profile of half a mirror circuit. To most effectively utilize the randomized Pauli layer, set `max_circuits` > 1 to average over several random Pauli circuits, where each random Pauli circuit is run `num_shots` times. The reported metrics will be an average across all the random circuits results. 
+
+There is also the option to use a random initial state, which replaces the currently set initial state with a (Harr) random one. This allows for testing the circuit's performance under varied initial conditions, which may provide a more comprehensive evaluation of the simulation circuit. 
 
-The parameters that we use for the current Hamiltonian simulation benchmark already put us in the many-body localization regime. After evolving the system for a suitibly long time, with <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}t\approx{1}">, we can then take a look at a parameter called *imbalance* to characterize this property. The imbalance compares the percentage of measured 1's on the even versus odd sites. We see that for our Heisenberg Hamiltonian, when averaging over many random choices for <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}h_{x,i}"> and <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}h_{z,i}">, the imbalance will converge to a constant value for increasing circuit width. We could then set our fidelity calculation as the deviation from the expected imbalance value. This benchmark is outlined in the `mbl_benchmark.py` file in the qiskit `WIP_benchmarks` folder.
 
-While we have already coded this benchmark, we are not using it as a benchmark because some of the parameters required are not feasible on current computers. Because of our comparatively large value of <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}t">, we need to have a large number of Trotter steps <img align=center src="https://latex.codecogs.com/svg.latex?\pagecolor{white}k"> so our simulation is close to the actual evolution of the Hamiltonian. This results in circuits that are thousands of gates long. Then, because the imbalance converging is a feature that occurs *on average*, we need to average over more than 100 different circuits for the fidelity calculation to capture just the hardware error, not the algorithmic error. All of these factors make it such that running the benchmark is difficult on simulators, and exceedingly expensive and/or time-intensive to run on hardware. In the future, when hardware is more accessible, these downsides might not be as big of an issue, and many-body-localization can be utilized as an effective benchmark.
- 
 ## References
 
 [1] Feynman, RP. (1982) Simulating physics with computers. Int J Theor Phys 21:467–488.
 
-[2] Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su. (2017).
+[2] Proctor, T., Rudinger, K., Young, K. et al. Measuring the capabilities of quantum computers. Nat. Phys. 18, 75–79 (2022). https://doi.org/10.1038/s41567-021-01409-7 
+
+[3] Sawaya, N. P., Marti-Dafcik, D., Ho, Y., Tabor, D. P., Neira, D. E. B., Magann, A. B., ... & Camps, D. (2023, September). 
+    HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware. 
+    In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (Vol. 2, pp. 389-390). IEEE.
+
+[4] Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su. (2017).
     Toward the first quantum simulation with quantum speedup.
     [`arXiv:1711.10980`](https://arxiv.org/pdf/1711.10980.pdf)
 
-[3] Naomichi Hatano, Masuo Suzuki. (2005).
+[5] Naomichi Hatano, Masuo Suzuki. (2005).
     Finding Exponential Product Formulas of Higher Orders
     [`arXiv:math-ph/0506007`](https://arxiv.org/abs/math-ph/0506007v1)
-
-[4] Farrokh Vatan, Colin Williams. (2004).
-    Optimal Quantum Circuits for General Two-Qubit Gates.
-    [`arXiv:quant-ph/0308006`](https://arxiv.org/abs/quant-ph/0308006)
-
-[5] D. Zhu, S. Johri, N. H. Nguyen, C. Huerta Alderete, K. A. Landsman, N. M. Linke, C. Monroe, A. Y. Matsuura. (2021).
-    Probing many-body localization on a noisy quantum computer.
-    [`arXiv:2006.12355`](https://arxiv.org/abs/2006.12355)
-
-[//]: # (Below are some thoughts that went into the choice of the type of hamiltonian simulation to be used for this benchmark.)
-
-[//]: # (Nearest-neighbor 1D, 2D and 3D cases are all physically motivated, corresponding to say, a nanowire, a thin film, and a cubic crystal. In this case, 1D is a suitable benchmark for current quantum computers since it has the least number of gates. As quantum computers improve, the simulation benchmarks could be designed to include higher dimensions.)
-
-[//]: # (If interactions between all pairs of spins were to be added, it would correspond to a limit of the long-range Heisenberg model. There are studies on this, but it may not show the localization behavior being captured in the accuracy metric in the benchmark. For this reason, the benchmark was written for the 1D case only.)
-
-[//]: # (The bodies being simulated can be represented as a linear chain of bodies, i.e. a 'open boundary condition' or in a circle, i.e. a 'periodic boundary condition'. In the limit of large system size, the boundary will not affect the bulk physics represented here. For small system sizes, periodic boundaries have some advantage in that they are less susceptible to 'edge effects', and the system can be Fourier transformed and studied in momentum space. Their drawback is that some numerical approximation techniques work poorly. In other simulation studies such as those of topological phenomena, there is important physics corresponding to a 'bulk-boundary correspondence', and the open edge is purposefully introduced.)
-
-[//]: # (Therefore, the choice of boundary condition depends on the system being studied and the computational technique being employed. Here it does not matter too much.)
diff --git a/hamlib/qiskit/benchmarks-qiskit.ipynb b/hamlib/qiskit/benchmarks-qiskit.ipynb
deleted file mode 100644
index f55cb87f..00000000
--- a/hamlib/qiskit/benchmarks-qiskit.ipynb
+++ /dev/null
@@ -1,1309 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### QED-C Application-Oriented Benchmarks - Qiskit Version\n",
-    "The notebook contains a suite of application-oriented benchmarks for the Qiskit API.\n",
-    "Configure and run the cell below with the desired execution settings.\n",
-    "Then execute the remaining cells, each containing one benchmark program."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 171,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%reload_ext autoreload\n",
-    "%autoreload 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 172,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "min_qubits=2\n",
-    "max_qubits=10\n",
-    "skip_qubits=1\n",
-    "max_circuits=1\n",
-    "num_shots=1000\n",
-    "\n",
-    "backend_id=\"qasm_simulator\"\n",
-    "#backend_id=\"statevector_simulator\"\n",
-    "\n",
-    "hub=\"ibm-q\"; group=\"open\"; project=\"main\"\n",
-    "provider_backend = None\n",
-    "exec_options = {}\n",
-    "\n",
-    "# # ==========================\n",
-    "# # *** If using IBMQ hardware, run this once to authenticate\n",
-    "# from qiskit import IBMQ\n",
-    "# IBMQ.save_account('YOUR_API_TOKEN_HERE')\n",
-    "\n",
-    "# # *** If you are part of an IBMQ group, set hub, group, and project name here\n",
-    "# hub=\"YOUR_HUB_NAME\"; group=\"YOUR_GROUP_NAME\"; project=\"YOUR_PROJECT_NAME\"\n",
-    "\n",
-    "# # *** This example shows how to specify an IBMQ backend using a known \"backend_id\"\n",
-    "# exec_options = { \"optimization_level\":3, \"use_sessions\":True, \"resilience_level\":1}\n",
-    "# backend_id=\"ibmq_belem\"\n",
-    "\n",
-    "# # ==========================\n",
-    "# # *** If using Azure Quantum, use this hub identifier and specify the desired backend_id\n",
-    "# # Identify your resources with env variables AZURE_QUANTUM_RESOURCE_ID and AZURE_QUANTUM_LOCATION\n",
-    "# hub=\"azure-quantum\"; group=\"open\"; project=\"QED-C App-Oriented Benchmarks - Qiskit Version\"\n",
-    "# backend_id=\"<YOUR_BACKEND_NAME_HERE>\"\n",
-    "\n",
-    "# # ==========================\n",
-    "# The remaining examples illustrate other backend execution options\n",
-    "\n",
-    "# # An example using IonQ provider\n",
-    "# from qiskit_ionq import IonQProvider\n",
-    "# provider = IonQProvider()   # Be sure to set the QISKIT_IONQ_API_TOKEN environment variable\n",
-    "# provider_backend = provider.get_backend(\"ionq_qpu\")\n",
-    "# backend_id=\"ionq_qpu\"\n",
-    "\n",
-    "# # An example using BlueQubit provider (backend_id=CPU/QPU, device=cpu/qpu)\n",
-    "# import sys\n",
-    "# sys.path.insert(1, \"../..\")\n",
-    "# import os, bluequbit, _common.executors.bluequbit_executor as bluequbit_executor\n",
-    "# provider_backend = bluequbit.init()\n",
-    "# backend_id=\"BlueQubit-CPU\"\n",
-    "# exec_options = { \"executor\": bluequbit_executor.run, \"device\":\"cpu\" }\n",
-    "\n",
-    "# # An example using a typical custom provider backend (e.g. AQT simulator)\n",
-    "# import os\n",
-    "# from qiskit_aqt_provider import AQTProvider\n",
-    "# provider = AQTProvider(os.environ.get('AQT_ACCESS_KEY'))    # get your key from environment\n",
-    "# provider_backend = provider.backends.aqt_qasm_simulator_noise_1\n",
-    "# backend_id=\"aqt_qasm_simulator_noise_1\"\n",
-    "\n",
-    "# # Fire Opal can be used to manage executions on other backends, as illustrated here\n",
-    "# import _common.executors.fire_opal_executor as fire_opal_executor\n",
-    "# from _common.executors.fire_opal_executor import FireOpalBackend\n",
-    "# ibm_backend_id = \"ibmq_jakarta\"\n",
-    "# backend_id = f\"fire_opal_{ibm_backend_id}\"\n",
-    "# provider_backend = FireOpalBackend(ibm_backend_id=ibm_backend_id, hub=hub, group=group, project=project, token=token)\n",
-    "# exec_options = {\"executor\": fire_opal_executor.run}\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 173,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Custom optimization options can be specified in this cell (below is an example)\n",
-    "\n",
-    "# # Example of pytket Transformer\n",
-    "# import _common.transformers.tket_optimiser as tket_optimiser\n",
-    "# exec_options.update({ \"optimization_level\": 0, \"layout_method\":'sabre', \"routing_method\":'sabre', \"transformer\": tket_optimiser.high_optimisation })\n",
-    "\n",
-    "# # Define a custom noise model to be used during execution\n",
-    "# import _common.custom.custom_qiskit_noise_model as custom_qiskit_noise_model\n",
-    "# exec_options.update({ \"noise_model\": custom_qiskit_noise_model.my_noise_model() })\n",
-    "\n",
-    "# # Example of mthree error mitigation\n",
-    "# import _common.postprocessors.mthree.mthree_em as mthree_em\n",
-    "# exec_options.update({ \"postprocessor\": mthree_em.get_mthree_handlers(backend_id, provider_backend) })\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 174,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import hamlib_simulation_benchmark, hamlib_simulation_kernel, hamlib_utils\n",
-    "import execute\n",
-    "\n",
-    "execute.verbose = False\n",
-    "execute.verbose_time = False\n",
-    "hamlib_simulation_benchmark.verbose = False\n",
-    "hamlib_simulation_kernel.verbose = False\n",
-    "hamlib_utils.verbose = False\n",
-    "\n",
-    "hamlib_simulation_kernel.global_U = None\n",
-    "hamlib_simulation_kernel.global_enc = None\n",
-    "hamlib_simulation_kernel.global_ratio = None\n",
-    "hamlib_simulation_kernel.global_rinst = None\n",
-    "hamlib_simulation_kernel.global_h = None\n",
-    "hamlib_simulation_kernel.global_pbc_val = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Hamiltonian Simulation - Method 1 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 175,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
-      "... execution starting at Aug 01, 2024 22:50:38 UTC\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 2\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 3\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 2 qubit group = 12, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 2 qubit group = 22, 0.385, 10.0\n",
-      "Average Creation, Elapsed, Execution Time for the 2 qubit group = 1.372, 1.403, 0.003 secs\n",
-      "Average Transpiling, Validating, Running Times for group 2 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 2 qubit group = 0.999, 0.99\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 4\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 3 qubit group = 22, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 3 qubit group = 52, 0.484, 30.0\n",
-      "Average Creation, Elapsed, Execution Time for the 3 qubit group = 1.376, 1.531, 0.004 secs\n",
-      "Average Transpiling, Validating, Running Times for group 3 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 3 qubit group = 0.996, 0.968\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 5\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 18, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 40, 0.488, 40.0\n",
-      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 1.411, 1.531, 0.004 secs\n",
-      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.964, 0.907\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 6\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 5 qubit group = 21, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 5 qubit group = 49, 0.485, 50.0\n",
-      "Average Creation, Elapsed, Execution Time for the 5 qubit group = 1.404, 1.72, 0.006 secs\n",
-      "Average Transpiling, Validating, Running Times for group 5 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 5 qubit group = 0.976, 0.914\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 7\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 19, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 43, 0.488, 60.0\n",
-      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 1.565, 1.891, 0.013 secs\n",
-      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.963, 0.899\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 8\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 7 qubit group = 21, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 7 qubit group = 49, 0.486, 70.0\n",
-      "Average Creation, Elapsed, Execution Time for the 7 qubit group = 1.73, 1.619, 0.045 secs\n",
-      "Average Transpiling, Validating, Running Times for group 7 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 7 qubit group = 0.955, 0.88\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 9\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 23, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 55, 0.488, 80.0\n",
-      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 1.396, 1.734, 0.092 secs\n",
-      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.898, 0.799\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 10\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 9 qubit group = 25, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 9 qubit group = 61, 0.486, 90.0\n",
-      "Average Creation, Elapsed, Execution Time for the 9 qubit group = 1.431, 2.314, 0.485 secs\n",
-      "Average Transpiling, Validating, Running Times for group 9 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 9 qubit group = 0.828, 0.638\n",
-      "\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 27, 0.0\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 67, 0.488, 100.0\n",
-      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 1.492, 0.796, 0.345 secs\n",
-      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.76, 0.587\n",
-      "\n",
-      "... execution complete at Aug 01, 2024 22:51:07 UTC in 28.858 secs\n",
-      "\n",
-      "Sample Circuit:\n",
-      "  H = SparsePauliOp(['ZZIIII', 'ZIIIIZ', 'IZZIII', 'IIIIZZ', 'IIZZII', 'IIIZZI', 'XIIIII', 'IXIIII', 'IIIIIX', 'IIXIII', 'IIIXII', 'IIIIXI'],\n",
-      "              coeffs=[1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 2.+0.j, 2.+0.j, 2.+0.j,\n",
-      " 2.+0.j, 2.+0.j, 2.+0.j])\n",
-      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
-      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
-      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
-      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
-      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
-      "meas: 6/═════════════════════════════════════════════════════════════»\n",
-      "                                                                     »\n",
-      "«        ┌──────────────┐┌──────────────┐ ░  ░ ┌─┐               \n",
-      "«   q_0: ┤0             ├┤0             ├─░──░─┤M├───────────────\n",
-      "«        │              ││              │ ░  ░ └╥┘┌─┐            \n",
-      "«   q_1: ┤1             ├┤1             ├─░──░──╫─┤M├────────────\n",
-      "«        │              ││              │ ░  ░  ║ └╥┘┌─┐         \n",
-      "«   q_2: ┤2             ├┤2             ├─░──░──╫──╫─┤M├─────────\n",
-      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
-      "«   q_3: ┤3             ├┤3             ├─░──░──╫──╫──╫─┤M├──────\n",
-      "«        │              ││              │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
-      "«   q_4: ┤4             ├┤4             ├─░──░──╫──╫──╫──╫─┤M├───\n",
-      "«        │              ││              │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
-      "«   q_5: ┤5             ├┤5             ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
-      "«        └──────────────┘└──────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
-      "«meas: 6/═══════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
-      "«                                               0  1  2  3  4  5 \n",
-      "  Initial State Neele:\n",
-      "     ┌───┐\n",
-      "q_0: ┤ X ├\n",
-      "     └───┘\n",
-      "q_1: ─────\n",
-      "     ┌───┐\n",
-      "q_2: ┤ X ├\n",
-      "     └───┘\n",
-      "q_3: ─────\n",
-      "     ┌───┐\n",
-      "q_4: ┤ X ├\n",
-      "     └───┘\n",
-      "q_5: ─────\n",
-      "          \n",
-      "  Evolution Operator (e^-iHt) =\n",
-      "                                    ┌─────────┐                      \n",
-      "q_0: ───────────■──────────■────────┤ Rx(0.8) ├──────────────────────\n",
-      "                │          │ZZ(0.4) └─────────┘           ┌─────────┐\n",
-      "q_1: ───────────┼──────────■─────────────────────■────────┤ Rx(0.8) ├\n",
-      "                │                                │ZZ(0.4) ├─────────┤\n",
-      "q_2: ───────────┼─────────────────────■──────────■────────┤ Rx(0.8) ├\n",
-      "                │                     │ZZ(0.4) ┌─────────┐└─────────┘\n",
-      "q_3: ───────────┼──────────■──────────■────────┤ Rx(0.8) ├───────────\n",
-      "                │          │ZZ(0.4) ┌─────────┐└─────────┘           \n",
-      "q_4: ─■─────────┼──────────■────────┤ Rx(0.8) ├──────────────────────\n",
-      "      │ZZ(0.4)  │ZZ(0.4) ┌─────────┐└─────────┘                      \n",
-      "q_5: ─■─────────■────────┤ Rx(0.8) ├─────────────────────────────────\n",
-      "                         └─────────┘                                 \n",
-      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
-      "     ┌──────────┐                                                         »\n",
-      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
-      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
-      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
-      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
-      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
-      "                                                                │ZZ(0.05) »\n",
-      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
-      "                                                                          »\n",
-      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
-      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
-      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
-      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
-      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
-      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
-      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«                  │ZZ(-0.1)              │                          │  »\n",
-      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
-      "«                                                                       »\n",
-      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
-      "«                                                                       »\n",
-      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
-      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
-      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
-      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
-      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
-      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
-      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
-      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
-      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
-      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
-      "«                │ZZ(-0.1)                                                   »\n",
-      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«                                                                      »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
-      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
-      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
-      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
-      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
-      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
-      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
-      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
-      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
-      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
-      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
-      "«                                                                      »\n",
-      "«                                                              \n",
-      "«q_0: ─────────────────────────────────────────────────────────\n",
-      "«     ┌───────────┐┌───┐                                       \n",
-      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
-      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
-      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
-      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
-      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
-      "«                    │    │                │  ┌───┐            \n",
-      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
-      "«                                             └─┬─┘┌──────────┐\n",
-      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
-      "«                                                  └──────────┘\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x1025 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 680x451.818 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "sys.path.insert(1, \"hamlib/qiskit\")\n",
-    "# exec_options = {\"noise_model\" : None}\n",
-    "\n",
-    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
-    "hamiltonian_name = 'TFIM'\n",
-    "hamlib_simulation_kernel.global_h = 2\n",
-    "hamlib_simulation_kernel.global_pbc_val = 'pbc'\n",
-    "\n",
-    "hamlib_simulation_benchmark.run(min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
-    "                max_circuits=max_circuits, num_shots=num_shots,\n",
-    "                method=1, hamiltonian = hamiltonian_name,\n",
-    "                backend_id=backend_id, provider_backend=provider_backend,\n",
-    "                hub=hub, group=group, project=project, exec_options=exec_options)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Hamiltonian Simulation - Method 2 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 176,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
-      "... execution starting at Aug 01, 2024 22:51:09 UTC\n",
-      "No valid dataset found for qubits = 2\n",
-      "No valid dataset found for qubits = 3\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 4\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 6\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 584, 0.333\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 404, 0.443, 240.0\n",
-      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 3.881, 4.56, 0.015 secs\n",
-      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.603, 0.287\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 8\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 1120, 0.333\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 792, 0.443, 480.0\n",
-      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 4.38, 9.228, 0.09 secs\n",
-      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.355, 0.078\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 10\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 1236, 0.333\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 872, 0.443, 720.0\n",
-      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 4.827, 9.696, 0.516 secs\n",
-      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.331, 0.024\n",
-      "\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 1352, 0.333\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 952, 0.443, 960.0\n",
-      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 4.761, 6.459, 2.326 secs\n",
-      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.199, 0.0\n",
-      "\n",
-      "... execution complete at Aug 01, 2024 22:52:23 UTC in 73.779 secs\n",
-      "\n",
-      "Sample Circuit:\n",
-      "  H = SparsePauliOp(['YZYIII', 'YZYZII', 'YZZYII', 'YZIYII', 'YIYIII', 'YIYZII', 'YIZYII', 'YIIYII', 'ZYYIII', 'ZYYZII', 'ZYZYII', 'ZYIYII', 'IYYIII', 'IYYZII', 'IYZYII', 'IYIYII', 'IIYZYI', 'IIYZYZ', 'IIYZZY', 'IIYZIY', 'IIYIYI', 'IIYIYZ', 'IIYIZY', 'IIYIIY', 'IIZYYI', 'IIZYYZ', 'IIZYZY', 'IIZYIY', 'IIIYYI', 'IIIYYZ', 'IIIYZY', 'IIIYIY'],\n",
-      "              coeffs=[-0.25      +0.j,  0.9330127 +0.j, -0.48296291+0.j,  0.48296291+0.j,\n",
-      "  0.0669873 +0.j, -0.25      +0.j,  0.12940952+0.j, -0.12940952+0.j,\n",
-      "  0.12940952+0.j, -0.48296291+0.j,  0.25      +0.j, -0.25      +0.j,\n",
-      " -0.12940952+0.j,  0.48296291+0.j, -0.25      +0.j,  0.25      +0.j,\n",
-      " -0.25      +0.j,  0.9330127 +0.j, -0.48296291+0.j,  0.48296291+0.j,\n",
-      "  0.0669873 +0.j, -0.25      +0.j,  0.12940952+0.j, -0.12940952+0.j,\n",
-      "  0.12940952+0.j, -0.48296291+0.j,  0.25      +0.j, -0.25      +0.j,\n",
-      " -0.12940952+0.j,  0.48296291+0.j, -0.25      +0.j,  0.25      +0.j])\n",
-      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
-      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
-      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
-      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
-      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
-      "meas: 6/═════════════════════════════════════════════════════════════»\n",
-      "                                                                     »\n",
-      "«        ┌──────────────┐┌──────────────┐ ░  ░ ┌─┐               \n",
-      "«   q_0: ┤0             ├┤0             ├─░──░─┤M├───────────────\n",
-      "«        │              ││              │ ░  ░ └╥┘┌─┐            \n",
-      "«   q_1: ┤1             ├┤1             ├─░──░──╫─┤M├────────────\n",
-      "«        │              ││              │ ░  ░  ║ └╥┘┌─┐         \n",
-      "«   q_2: ┤2             ├┤2             ├─░──░──╫──╫─┤M├─────────\n",
-      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
-      "«   q_3: ┤3             ├┤3             ├─░──░──╫──╫──╫─┤M├──────\n",
-      "«        │              ││              │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
-      "«   q_4: ┤4             ├┤4             ├─░──░──╫──╫──╫──╫─┤M├───\n",
-      "«        │              ││              │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
-      "«   q_5: ┤5             ├┤5             ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
-      "«        └──────────────┘└──────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
-      "«meas: 6/═══════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
-      "«                                               0  1  2  3  4  5 \n",
-      "  Initial State Neele:\n",
-      "     ┌───┐\n",
-      "q_0: ┤ X ├\n",
-      "     └───┘\n",
-      "q_1: ─────\n",
-      "     ┌───┐\n",
-      "q_2: ┤ X ├\n",
-      "     └───┘\n",
-      "q_3: ─────\n",
-      "     ┌───┐\n",
-      "q_4: ┤ X ├\n",
-      "     └───┘\n",
-      "q_5: ─────\n",
-      "          \n",
-      "  Evolution Operator (e^-iHt) =\n",
-      "                                                                     »\n",
-      "q_0: ────────────────────────────────────────────────────────────────»\n",
-      "     ┌───────────────┐                                               »\n",
-      "q_1: ┤ U3(π/2,0,π/2) ├───────────────────────────────────────────────»\n",
-      "     └───────────────┘                      ┌───┐┌─────────────┐┌───┐»\n",
-      "q_2: ───────────────────────────────────────┤ X ├┤ Rz(0.37321) ├┤ X ├»\n",
-      "     ┌───────────────┐     ┌───┐┌──────────┐└─┬─┘└─────────────┘└─┬─┘»\n",
-      "q_3: ┤ U3(π/2,0,π/2) ├─────┤ X ├┤ Rz(-0.1) ├──■───────────────────■──»\n",
-      "     └───────────────┘┌───┐└─┬─┘└──────────┘                         »\n",
-      "q_4: ─────────────────┤ X ├──■───────────────────────────────────────»\n",
-      "     ┌───────────────┐└─┬─┘                                          »\n",
-      "q_5: ┤ U3(π/2,0,π/2) ├──■────────────────────────────────────────────»\n",
-      "     └───────────────┘                                               »\n",
-      "«                                                                              »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                              »\n",
-      "«q_1: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«     ┌───────────────┐┌───┐┌──────────────┐┌───┐     ┌───┐┌─────────────┐┌───┐»\n",
-      "«q_2: ┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.19319) ├┤ X ├─────┤ X ├┤ Rz(0.19319) ├┤ X ├»\n",
-      "«     └──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘┌───┐└─┬─┘└─────────────┘└─┬─┘»\n",
-      "«q_3: ───┤0         ├────■────────────────────■──┤ X ├──┼───────────────────┼──»\n",
-      "«        │  Unitary │                            └─┬─┘  │                   │  »\n",
-      "«q_4: ───┤1         ├──────────────────────────────■────■───────────────────■──»\n",
-      "«        └──────────┘                                                          »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                              »\n",
-      "«                                                                            »\n",
-      "«q_0: ───────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«q_1: ───────────────────────────────────────────────────────────────────────»\n",
-      "«     ┌────────────────┐                                                     »\n",
-      "«q_2: ┤ U3(π/2,π/2,-π) ├─────────────────────────────────────────────────────»\n",
-      "«     └────────────────┘                  ┌────────────────┐┌───────────────┐»\n",
-      "«q_3: ────────────────────────────────────┤0               ├┤ U3(π/2,0,π/2) ├»\n",
-      "«           ┌───┐       ┌───────────────┐ │                │└───────────────┘»\n",
-      "«q_4: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤  Ryy(0.026795) ├─────────────────»\n",
-      "«           └─┬─┘       ├───────────────┴┐│                │┌───────────────┐»\n",
-      "«q_5: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1               ├┤ U3(π/2,0,π/2) ├»\n",
-      "«                       └────────────────┘└────────────────┘└───────────────┘»\n",
-      "«                                                                           »\n",
-      "«q_0: ──────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                           »\n",
-      "«q_1: ──────────────────────────────────────────────────────────────────────»\n",
-      "«          ┌───┐┌──────────┐┌───┐┌───────────────┐┌───┐┌──────────────┐┌───┐»\n",
-      "«q_2: ─────┤ X ├┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.051764) ├┤ X ├»\n",
-      "«     ┌───┐└─┬─┘└──────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘»\n",
-      "«q_3: ┤ X ├──■────────────────■─────┤0         ├────■────────────────────■──»\n",
-      "«     └─┬─┘                         │          │                            »\n",
-      "«q_4: ──┼───────────────────────────┤  Unitary ├────────────────────────────»\n",
-      "«       │                           │          │                            »\n",
-      "«q_5: ──■───────────────────────────┤1         ├────────────────────────────»\n",
-      "«                                   └──────────┘                            »\n",
-      "«                                                                      »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
-      "«                                                                      »\n",
-      "«q_1: ─────────────────────────────────────────────────────────────────»\n",
-      "«     ┌────────────────┐                  ┌─────────────────┐          »\n",
-      "«q_2: ┤ U3(π/2,π/2,-π) ├──────────────────┤0                ├──────────»\n",
-      "«     └─────┬───┬──────┘┌───────────────┐ │                 │     ┌───┐»\n",
-      "«q_3: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤                 ├─────┤ X ├»\n",
-      "«           └─┬─┘       └───────────────┘ │  Ryy(-0.051764) │┌───┐└─┬─┘»\n",
-      "«q_4: ────────┼───────────────────────────┤                 ├┤ X ├──■──»\n",
-      "«             │         ┌────────────────┐│                 │└─┬─┘     »\n",
-      "«q_5: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1                ├──■───────»\n",
-      "«                       └────────────────┘└─────────────────┘          »\n",
-      "«                                                                     »\n",
-      "«q_0: ────────────────────────────────────────────────────────────────»\n",
-      "«                                                                     »\n",
-      "«q_1: ────────────────────────────────────────────────────────────────»\n",
-      "«                     ┌───┐┌──────────────┐┌───┐┌───────────────┐┌───┐»\n",
-      "«q_2: ────────────────┤ X ├┤ Rz(-0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├»\n",
-      "«     ┌──────────────┐└─┬─┘└──────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘»\n",
-      "«q_3: ┤ Rz(0.051764) ├──■────────────────────■─────┤0         ├────■──»\n",
-      "«     └──────────────┘                             │  Unitary │       »\n",
-      "«q_4: ─────────────────────────────────────────────┤1         ├───────»\n",
-      "«                                                  └──────────┘       »\n",
-      "«q_5: ────────────────────────────────────────────────────────────────»\n",
-      "«                                                                     »\n",
-      "«                                                                  »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────»\n",
-      "«                                                                  »\n",
-      "«q_1: ─────────────────────────────────────────────────────────────»\n",
-      "«     ┌─────────┐┌───┐     ┌───┐┌──────────┐┌───┐┌────────────────┐»\n",
-      "«q_2: ┤ Rz(0.1) ├┤ X ├─────┤ X ├┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├»\n",
-      "«     └─────────┘└─┬─┘┌───┐└─┬─┘└──────────┘└─┬─┘└────────────────┘»\n",
-      "«q_3: ─────────────■──┤ X ├──┼────────────────┼────────────────────»\n",
-      "«                     └─┬─┘  │                │        ┌───┐       »\n",
-      "«q_4: ──────────────────■────■────────────────■────────┤ X ├───────»\n",
-      "«                                                      └─┬─┘       »\n",
-      "«q_5: ───────────────────────────────────────────────────■─────────»\n",
-      "«                                                                  »\n",
-      "«                                                                     »\n",
-      "«q_0: ────────────────────────────────────────────────────────────────»\n",
-      "«                                                                     »\n",
-      "«q_1: ────────────────────────────────────────────────────────────────»\n",
-      "«                                                                ┌───┐»\n",
-      "«q_2: ───────────────────────────────────────────────────────────┤ X ├»\n",
-      "«                       ┌─────────────────┐┌───────────────┐┌───┐└─┬─┘»\n",
-      "«q_3: ──────────────────┤0                ├┤ U3(π/2,0,π/2) ├┤ X ├──■──»\n",
-      "«     ┌────────────────┐│  Ryy(-0.051764) │├───────────────┤└─┬─┘     »\n",
-      "«q_4: ┤ U3(π/2,π/2,-π) ├┤1                ├┤ U3(π/2,0,π/2) ├──■───────»\n",
-      "«     └────────────────┘└─────────────────┘└───────────────┘          »\n",
-      "«q_5: ────────────────────────────────────────────────────────────────»\n",
-      "«                                                                     »\n",
-      "«                                                                »\n",
-      "«q_0: ───────────────────────────────────────────────────────────»\n",
-      "«                                                                »\n",
-      "«q_1: ───────────────────────────────────────────────────────────»\n",
-      "«     ┌─────────────┐┌───┐┌───────────────┐┌───┐┌──────────┐┌───┐»\n",
-      "«q_2: ┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.1) ├┤ X ├»\n",
-      "«     └─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────┘└─┬─┘»\n",
-      "«q_3: ─────────────────■─────┤0         ├────■────────────────■──»\n",
-      "«                            │  Unitary │                        »\n",
-      "«q_4: ───────────────────────┤1         ├────────────────────────»\n",
-      "«                            └──────────┘                        »\n",
-      "«q_5: ───────────────────────────────────────────────────────────»\n",
-      "«                                                                »\n",
-      "«                                                                            »\n",
-      "«q_0: ───────────────────────────────────────────────────────────────────────»\n",
-      "«                                                           ┌───┐┌──────────┐»\n",
-      "«q_1: ──────────────────────────────────────────────────────┤ X ├┤ Rz(-0.1) ├»\n",
-      "«     ┌────────────────┐                  ┌───────────┐┌───┐└─┬─┘└──────────┘»\n",
-      "«q_2: ┤ U3(π/2,π/2,-π) ├──────────────────┤0          ├┤ X ├──■──────────────»\n",
-      "«     └─────┬───┬──────┘┌───────────────┐ │           │└─┬─┘                 »\n",
-      "«q_3: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤  Ryy(0.1) ├──■───────────────────»\n",
-      "«           └─┬─┘       ├───────────────┴┐│           │                      »\n",
-      "«q_4: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1          ├──────────────────────»\n",
-      "«                       └────────────────┘└───────────┘                      »\n",
-      "«q_5: ───────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«     ┌───┐┌─────────────┐┌───┐┌───────────────┐┌───┐┌──────────────┐┌───┐     »\n",
-      "«q_0: ┤ X ├┤ Rz(0.37321) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.19319) ├┤ X ├─────»\n",
-      "«     └─┬─┘└─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘┌───┐»\n",
-      "«q_1: ──■───────────────────■─────┤0         ├────■────────────────────■──┤ X ├»\n",
-      "«                                 │  Unitary │                            └─┬─┘»\n",
-      "«q_2: ────────────────────────────┤1         ├──────────────────────────────■──»\n",
-      "«                                 └──────────┘                                 »\n",
-      "«q_3: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                              »\n",
-      "«q_4: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                              »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                              »\n",
-      "«     ┌───┐┌─────────────┐┌───┐┌────────────────┐                  »\n",
-      "«q_0: ┤ X ├┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,π/2,-π) ├──────────────────»\n",
-      "«     └─┬─┘└─────────────┘└─┬─┘└────────────────┘                  »\n",
-      "«q_1: ──┼───────────────────┼──────────────────────────────────────»\n",
-      "«       │                   │        ┌───┐       ┌───────────────┐ »\n",
-      "«q_2: ──■───────────────────■────────┤ X ├───────┤ U3(π/2,0,π/2) ├─»\n",
-      "«                                    └─┬─┘       ├───────────────┴┐»\n",
-      "«q_3: ─────────────────────────────────■─────────┤ U3(π/2,π/2,-π) ├»\n",
-      "«                                                └────────────────┘»\n",
-      "«q_4: ─────────────────────────────────────────────────────────────»\n",
-      "«                                                                  »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────»\n",
-      "«                                                                  »\n",
-      "«                                             ┌───┐┌──────────┐┌───┐»\n",
-      "«q_0: ────────────────────────────────────────┤ X ├┤ Rz(-0.1) ├┤ X ├»\n",
-      "«     ┌────────────────┐┌───────────────┐┌───┐└─┬─┘└──────────┘└─┬─┘»\n",
-      "«q_1: ┤0               ├┤ U3(π/2,0,π/2) ├┤ X ├──■────────────────■──»\n",
-      "«     │                │└───────────────┘└─┬─┘                      »\n",
-      "«q_2: ┤  Ryy(0.026795) ├───────────────────┼────────────────────────»\n",
-      "«     │                │┌───────────────┐  │                        »\n",
-      "«q_3: ┤1               ├┤ U3(π/2,0,π/2) ├──■────────────────────────»\n",
-      "«     └────────────────┘└───────────────┘                           »\n",
-      "«q_4: ──────────────────────────────────────────────────────────────»\n",
-      "«                                                                   »\n",
-      "«q_5: ──────────────────────────────────────────────────────────────»\n",
-      "«                                                                   »\n",
-      "«     ┌───────────────┐┌───┐┌──────────────┐┌───┐┌────────────────┐»\n",
-      "«q_0: ┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.051764) ├┤ X ├┤ U3(π/2,π/2,-π) ├»\n",
-      "«     └──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘└─────┬───┬──────┘»\n",
-      "«q_1: ───┤0         ├────■────────────────────■────────┤ X ├───────»\n",
-      "«        │          │                                  └─┬─┘       »\n",
-      "«q_2: ───┤  Unitary ├────────────────────────────────────┼─────────»\n",
-      "«        │          │                                    │         »\n",
-      "«q_3: ───┤1         ├────────────────────────────────────■─────────»\n",
-      "«        └──────────┘                                              »\n",
-      "«q_4: ─────────────────────────────────────────────────────────────»\n",
-      "«                                                                  »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────»\n",
-      "«                                                                  »\n",
-      "«                       ┌─────────────────┐                          ┌───┐»\n",
-      "«q_0: ──────────────────┤0                ├──────────────────────────┤ X ├»\n",
-      "«     ┌───────────────┐ │                 │     ┌───┐┌──────────────┐└─┬─┘»\n",
-      "«q_1: ┤ U3(π/2,0,π/2) ├─┤                 ├─────┤ X ├┤ Rz(0.051764) ├──■──»\n",
-      "«     └───────────────┘ │  Ryy(-0.051764) │┌───┐└─┬─┘└──────────────┘     »\n",
-      "«q_2: ──────────────────┤                 ├┤ X ├──■───────────────────────»\n",
-      "«     ┌────────────────┐│                 │└─┬─┘                          »\n",
-      "«q_3: ┤ U3(π/2,π/2,-π) ├┤1                ├──■────────────────────────────»\n",
-      "«     └────────────────┘└─────────────────┘                               »\n",
-      "«q_4: ────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                         »\n",
-      "«q_5: ────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                         »\n",
-      "«     ┌──────────────┐┌───┐┌───────────────┐┌───┐┌─────────┐┌───┐     ┌───┐»\n",
-      "«q_0: ┤ Rz(-0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.1) ├┤ X ├─────┤ X ├»\n",
-      "«     └──────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└─────────┘└─┬─┘┌───┐└─┬─┘»\n",
-      "«q_1: ──────────────────■─────┤0         ├────■───────────────■──┤ X ├──┼──»\n",
-      "«                             │  Unitary │                       └─┬─┘  │  »\n",
-      "«q_2: ────────────────────────┤1         ├─────────────────────────■────■──»\n",
-      "«                             └──────────┘                                 »\n",
-      "«q_3: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«q_4: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«     ┌──────────┐┌───┐┌────────────────┐                                     »\n",
-      "«q_0: ┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├─────────────────────────────────────»\n",
-      "«     └──────────┘└─┬─┘└────────────────┘                  ┌─────────────────┐»\n",
-      "«q_1: ──────────────┼──────────────────────────────────────┤0                ├»\n",
-      "«                   │        ┌───┐       ┌────────────────┐│  Ryy(-0.051764) │»\n",
-      "«q_2: ──────────────■────────┤ X ├───────┤ U3(π/2,π/2,-π) ├┤1                ├»\n",
-      "«                            └─┬─┘       └────────────────┘└─────────────────┘»\n",
-      "«q_3: ─────────────────────────■──────────────────────────────────────────────»\n",
-      "«                                                                             »\n",
-      "«q_4: ────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                             »\n",
-      "«q_5: ────────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                             »\n",
-      "«                           ┌───┐┌─────────────┐┌───┐┌───────────────┐┌───┐»\n",
-      "«q_0: ──────────────────────┤ X ├┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├»\n",
-      "«     ┌───────────────┐┌───┐└─┬─┘└─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘»\n",
-      "«q_1: ┤ U3(π/2,0,π/2) ├┤ X ├──■───────────────────■─────┤0         ├────■──»\n",
-      "«     ├───────────────┤└─┬─┘                            │  Unitary │       »\n",
-      "«q_2: ┤ U3(π/2,0,π/2) ├──■──────────────────────────────┤1         ├───────»\n",
-      "«     └───────────────┘                                 └──────────┘       »\n",
-      "«q_3: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«q_4: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«q_5: ─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                          »\n",
-      "«     ┌──────────┐┌───┐┌────────────────┐                  ┌───────────┐\n",
-      "«q_0: ┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├──────────────────┤0          ├\n",
-      "«     └──────────┘└─┬─┘└─────┬───┬──────┘                  │           │\n",
-      "«q_1: ──────────────■────────┤ X ├─────────────────────────┤  Ryy(0.1) ├\n",
-      "«                            └─┬─┘       ┌────────────────┐│           │\n",
-      "«q_2: ─────────────────────────■─────────┤ U3(π/2,π/2,-π) ├┤1          ├\n",
-      "«                                        └────────────────┘└───────────┘\n",
-      "«q_3: ──────────────────────────────────────────────────────────────────\n",
-      "«                                                                       \n",
-      "«q_4: ──────────────────────────────────────────────────────────────────\n",
-      "«                                                                       \n",
-      "«q_5: ──────────────────────────────────────────────────────────────────\n",
-      "«                                                                       \n",
-      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
-      "     ┌──────────┐                                                         »\n",
-      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
-      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
-      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
-      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
-      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
-      "                                                                │ZZ(0.05) »\n",
-      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
-      "                                                                          »\n",
-      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
-      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
-      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
-      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
-      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
-      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
-      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«                  │ZZ(-0.1)              │                          │  »\n",
-      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
-      "«                                                                       »\n",
-      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
-      "«                                                                       »\n",
-      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
-      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
-      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
-      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
-      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
-      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
-      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
-      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
-      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
-      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
-      "«                │ZZ(-0.1)                                                   »\n",
-      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«                                                                      »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
-      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
-      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
-      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
-      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
-      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
-      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
-      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
-      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
-      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
-      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
-      "«                                                                      »\n",
-      "«                                                              \n",
-      "«q_0: ─────────────────────────────────────────────────────────\n",
-      "«     ┌───────────┐┌───┐                                       \n",
-      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
-      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
-      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
-      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
-      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
-      "«                    │    │                │  ┌───┐            \n",
-      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
-      "«                                             └─┬─┘┌──────────┐\n",
-      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
-      "«                                                  └──────────┘\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x1025 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 680x451.818 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "sys.path.insert(1, \"hamlib/qiskit\")\n",
-    "# exec_options = {\"noise_model\" : None}\n",
-    "\n",
-    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
-    "hamiltonian_name = 'Bose-Hubbard-1D'\n",
-    "hamlib_simulation_kernel.global_pbc_val = 'nonpbc'\n",
-    "hamlib_simulation_kernel.global_U = 10\n",
-    "hamlib_simulation_kernel.global_enc = 'gray'\n",
-    "\n",
-    "hamlib_simulation_benchmark.run(\n",
-    "    min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
-    "    max_circuits=max_circuits, num_shots=num_shots,\n",
-    "    method=2, hamiltonian = hamiltonian_name,\n",
-    "    backend_id=backend_id, provider_backend=provider_backend,\n",
-    "    hub=hub, group=group, project=project, exec_options=exec_options\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Hamiltonian Simulation - Method 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 177,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
-      "... execution starting at Aug 01, 2024 22:52:24 UTC\n",
-      "No valid dataset found for qubits = 2\n",
-      "No valid dataset found for qubits = 3\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 4\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 5\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 226, 0.588\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 266, 0.641, 200.0\n",
-      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 1.159, 1.271, 0.01 secs\n",
-      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.501, 0.468\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 6\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 5 qubit group = 318, 0.596\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 5 qubit group = 318, 0.648, 300.0\n",
-      "Average Creation, Elapsed, Execution Time for the 5 qubit group = 1.211, 1.317, 0.021 secs\n",
-      "Average Transpiling, Validating, Running Times for group 5 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 5 qubit group = 0.37, 0.35\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 7\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 340, 0.53\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 404, 0.653, 400.0\n",
-      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 1.208, 1.681, 0.185 secs\n",
-      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.248, 0.236\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 8\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 7 qubit group = 608, 0.624\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 7 qubit group = 664, 0.684, 680.0\n",
-      "Average Creation, Elapsed, Execution Time for the 7 qubit group = 1.57, 2.026, 0.371 secs\n",
-      "Average Transpiling, Validating, Running Times for group 7 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 7 qubit group = 0.101, 0.094\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 9\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 562, 0.541\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 670, 0.664, 740.0\n",
-      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 1.898, 7.422, 0.49 secs\n",
-      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.081, 0.077\n",
-      "\n",
-      "************\n",
-      "Executing [1] circuits with num_qubits = 10\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 9 qubit group = 832, 0.579\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 9 qubit group = 1094, 0.683, 1000.0\n",
-      "Average Creation, Elapsed, Execution Time for the 9 qubit group = 7.27, 4.296, 2.256 secs\n",
-      "Average Transpiling, Validating, Running Times for group 9 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 9 qubit group = 0.026, 0.024\n",
-      "\n",
-      "************\n",
-      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 776, 0.527\n",
-      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 1048, 0.672, 1180.0\n",
-      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 3.945, 1.963, 1.798 secs\n",
-      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
-      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.023, 0.022\n",
-      "\n",
-      "... execution complete at Aug 01, 2024 22:52:55 UTC in 30.883 secs\n",
-      "\n",
-      "Sample Circuit:\n",
-      "  H = SparsePauliOp(['IIIIII', 'ZIIIII', 'ZZIZII', 'ZZIIZI', 'ZIIZII', 'ZIIZZI', 'ZIIIZI', 'IZIIII', 'IZZIII', 'IZZZII', 'IZZIIZ', 'IZIZII', 'IZIIZZ', 'IZIIIZ', 'IIZZII', 'IIZIIZ', 'IIIZII', 'IIIZZI', 'IIIZIZ', 'IIIIZI', 'IIIIZZ', 'IIIIIZ'],\n",
-      "              coeffs=[10.5  +0.j, -0.125+0.j, -0.125+0.j,  0.125+0.j,  0.25 +0.j,  0.125+0.j,\n",
-      "  0.25 +0.j, -0.125+0.j,  0.25 +0.j,  0.125+0.j, -0.125+0.j, -0.25 +0.j,\n",
-      " -0.125+0.j,  0.25 +0.j, -0.125+0.j, -0.125+0.j, -0.375+0.j, -0.375+0.j,\n",
-      "  0.25 +0.j, -0.125+0.j,  0.125+0.j,  0.75 +0.j])\n",
-      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
-      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
-      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
-      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
-      "        │        │ ░ │              ││              ││              │»\n",
-      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
-      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
-      "meas: 6/═════════════════════════════════════════════════════════════»\n",
-      "                                                                     »\n",
-      "«        ┌──────────────┐┌──────────────┐ ░ ┌─────────────┐┌─────────────┐»\n",
-      "«   q_0: ┤0             ├┤0             ├─░─┤0            ├┤0            ├»\n",
-      "«        │              ││              │ ░ │             ││             │»\n",
-      "«   q_1: ┤1             ├┤1             ├─░─┤1            ├┤1            ├»\n",
-      "«        │              ││              │ ░ │             ││             │»\n",
-      "«   q_2: ┤2             ├┤2             ├─░─┤2            ├┤2            ├»\n",
-      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░ │  e^iHt(0.2) ││  e^iHt(0.2) │»\n",
-      "«   q_3: ┤3             ├┤3             ├─░─┤3            ├┤3            ├»\n",
-      "«        │              ││              │ ░ │             ││             │»\n",
-      "«   q_4: ┤4             ├┤4             ├─░─┤4            ├┤4            ├»\n",
-      "«        │              ││              │ ░ │             ││             │»\n",
-      "«   q_5: ┤5             ├┤5             ├─░─┤5            ├┤5            ├»\n",
-      "«        └──────────────┘└──────────────┘ ░ └─────────────┘└─────────────┘»\n",
-      "«meas: 6/═════════════════════════════════════════════════════════════════»\n",
-      "«                                                                         »\n",
-      "«        ┌─────────────┐┌─────────────┐┌─────────────┐ ░  ░ ┌─┐               \n",
-      "«   q_0: ┤0            ├┤0            ├┤0            ├─░──░─┤M├───────────────\n",
-      "«        │             ││             ││             │ ░  ░ └╥┘┌─┐            \n",
-      "«   q_1: ┤1            ├┤1            ├┤1            ├─░──░──╫─┤M├────────────\n",
-      "«        │             ││             ││             │ ░  ░  ║ └╥┘┌─┐         \n",
-      "«   q_2: ┤2            ├┤2            ├┤2            ├─░──░──╫──╫─┤M├─────────\n",
-      "«        │  e^iHt(0.2) ││  e^iHt(0.2) ││  e^iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
-      "«   q_3: ┤3            ├┤3            ├┤3            ├─░──░──╫──╫──╫─┤M├──────\n",
-      "«        │             ││             ││             │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
-      "«   q_4: ┤4            ├┤4            ├┤4            ├─░──░──╫──╫──╫──╫─┤M├───\n",
-      "«        │             ││             ││             │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
-      "«   q_5: ┤5            ├┤5            ├┤5            ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
-      "«        └─────────────┘└─────────────┘└─────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
-      "«meas: 6/════════════════════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
-      "«                                                            0  1  2  3  4  5 \n",
-      "  Initial State Neele:\n",
-      "     ┌───┐\n",
-      "q_0: ┤ X ├\n",
-      "     └───┘\n",
-      "q_1: ─────\n",
-      "     ┌───┐\n",
-      "q_2: ┤ X ├\n",
-      "     └───┘\n",
-      "q_3: ─────\n",
-      "     ┌───┐\n",
-      "q_4: ┤ X ├\n",
-      "     └───┘\n",
-      "q_5: ─────\n",
-      "          \n",
-      "  Evolution Operator (e^-iHt) =\n",
-      "                                                                         »\n",
-      "q_0: ────────────────────────────────────────────────────────────────────»\n",
-      "                                              ┌───┐┌──────────┐┌───┐     »\n",
-      "q_1: ─────────────────────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
-      "                       ┌───┐┌───────────┐┌───┐└─┬─┘└──────────┘└─┬─┘     »\n",
-      "q_2: ──────────────────┤ X ├┤ Rz(-0.05) ├┤ X ├──┼────────────────┼───────»\n",
-      "                       └─┬─┘└───────────┘└─┬─┘  │                │       »\n",
-      "q_3: ────────────────────┼─────────────────┼────┼────────────────┼───────»\n",
-      "                  ┌───┐  │                 │    │                │  ┌───┐»\n",
-      "q_4: ─────────────┤ X ├──■─────────────────■────■────────────────■──┤ X ├»\n",
-      "     ┌───────────┐└─┬─┘                                             └─┬─┘»\n",
-      "q_5: ┤ Rz(-0.05) ├──■─────────────────────────────────────────────────■──»\n",
-      "     └───────────┘                                                       »\n",
-      "«                                                                      »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
-      "«                                           ┌───┐┌──────────┐┌───┐     »\n",
-      "«q_1: ──────────────────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
-      "«                                      ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
-      "«q_2: ─■───────────────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
-      "«      │                               └─┬─┘┌───┐                 └─┬─┘»\n",
-      "«q_3: ─┼──────────────────────■──────────┼──┤ X ├───────────────────┼──»\n",
-      "«      │        ┌───────────┐ │ZZ(0.1)   │  └─┬─┘                   │  »\n",
-      "«q_4: ─┼────────┤ Rz(-0.05) ├─■──────────┼────■─────────────────────┼──»\n",
-      "«      │ZZ(0.1) └───────────┘            │                          │  »\n",
-      "«q_5: ─■─────────────────────────────────■──────────────────────────■──»\n",
-      "«                                                                      »\n",
-      "«                                     ┌───┐┌───────────┐┌───┐                »\n",
-      "«q_0: ────────────────────────────────┤ X ├┤ Rz(-0.05) ├┤ X ├────────────────»\n",
-      "«                                     └─┬─┘└───────────┘└─┬─┘                »\n",
-      "«q_1: ─■────────────────────────────────┼─────────────────┼──────────────────»\n",
-      "«      │        ┌───┐┌──────────┐┌───┐  │                 │                  »\n",
-      "«q_2: ─┼────────┤ X ├┤ Rz(0.05) ├┤ X ├──┼─────────────────┼────────■─────────»\n",
-      "«      │        └─┬─┘└──────────┘└─┬─┘  │                 │  ┌───┐ │         »\n",
-      "«q_3: ─┼──────────■────────────────■────■─────────────────■──┤ X ├─┼─────────»\n",
-      "«      │                                                     └─┬─┘ │ZZ(-0.1) »\n",
-      "«q_4: ─┼───────────────────────────────────────────────────────■───■─────────»\n",
-      "«      │ZZ(0.1)                                                              »\n",
-      "«q_5: ─■─────────────────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«                          ┌───┐    ┌───────────┐┌───┐               »\n",
-      "«q_0: ─────────────────────┤ X ├────┤ Rz(-0.05) ├┤ X ├──────■────────»\n",
-      "«                 ┌───┐    └─┬─┘    └───────────┘└─┬─┘┌───┐ │        »\n",
-      "«q_1: ────────────┤ X ├──────■─────────────────────■──┤ X ├─┼────────»\n",
-      "«                 └─┬─┘┌───────────┐                  └─┬─┘ │        »\n",
-      "«q_2: ─■────────────┼──┤ Rz(-0.15) ├────────────────────┼───┼────────»\n",
-      "«      │ZZ(-0.05)   │  └───────────┘                    │   │        »\n",
-      "«q_3: ─■────────────┼───────────────────────────────────┼───┼────────»\n",
-      "«                   │                                   │   │ZZ(0.1) »\n",
-      "«q_4: ──────────────■───────────────────────────────────■───■────────»\n",
-      "«                                                                    »\n",
-      "«q_5: ───────────────────────────────────────────────────────────────»\n",
-      "«                                                                    »\n",
-      "«                                                               ┌─────────┐\n",
-      "«q_0: ─────────────■────────────────────────■─────────■─────────┤ Rz(0.3) ├\n",
-      "«                  │          ┌───────────┐ │         │ZZ(0.05) └─────────┘\n",
-      "«q_1: ─■───────────┼──────────┤ Rz(-0.05) ├─┼─────────■────────────────────\n",
-      "«      │ZZ(-0.15)  │          └───────────┘ │ZZ(0.1)                       \n",
-      "«q_2: ─■───────────┼────────────────────────■──────────────────────────────\n",
-      "«                  │ZZ(-0.05)                                              \n",
-      "«q_3: ─────────────■───────────────────────────────────────────────────────\n",
-      "«                                                                          \n",
-      "«q_4: ─────────────────────────────────────────────────────────────────────\n",
-      "«                                                                          \n",
-      "«q_5: ─────────────────────────────────────────────────────────────────────\n",
-      "«                                                                          \n",
-      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
-      "     ┌──────────┐                                                         »\n",
-      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
-      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
-      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
-      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
-      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
-      "                                                                │ZZ(0.05) »\n",
-      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
-      "                                                                          »\n",
-      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
-      "                                                                          »\n",
-      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
-      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
-      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
-      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
-      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
-      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
-      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
-      "«                  │ZZ(-0.1)              │                          │  »\n",
-      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
-      "«                                                                       »\n",
-      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
-      "«                                                                       »\n",
-      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
-      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
-      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
-      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
-      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
-      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
-      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
-      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
-      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
-      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
-      "«                │ZZ(-0.1)                                                   »\n",
-      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
-      "«                                                                            »\n",
-      "«                                                                      »\n",
-      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
-      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
-      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
-      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
-      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
-      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
-      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
-      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
-      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
-      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
-      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
-      "«                                                                      »\n",
-      "«                                                              \n",
-      "«q_0: ─────────────────────────────────────────────────────────\n",
-      "«     ┌───────────┐┌───┐                                       \n",
-      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
-      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
-      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
-      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
-      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
-      "«                    │    │                │  ┌───┐            \n",
-      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
-      "«                                             └─┬─┘┌──────────┐\n",
-      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
-      "«                                                  └──────────┘\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x1025 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 680x451.818 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "sys.path.insert(1, \"hamlib/qiskit\")\n",
-    "# exec_options = {\"noise_model\" : None}\n",
-    "\n",
-    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
-    "hamiltonian_name = 'Max3Sat'\n",
-    "hamlib_simulation_kernel.global_ratio = 2\n",
-    "hamlib_simulation_kernel.global_rinst = '02'\n",
-    "\n",
-    "hamlib_simulation_benchmark.run(min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
-    "                max_circuits=max_circuits, num_shots=num_shots,\n",
-    "                method=3, hamiltonian = hamiltonian_name,\n",
-    "                backend_id=backend_id, provider_backend=provider_backend,\n",
-    "                hub=hub, group=group, project=project, exec_options=exec_options)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Combined Benchmark Results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 178,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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lHjd48GDExcXh0qVL/H+VTSvYvXs3vLy84OnpKfPdVTTVqPh3V9u2beHt7S1TpurPhKrfk0XXfPjw4TLfx507d5Zru0jRNUlNTS3x2hCiCAWyRGNFX3RFD309f/4c//77LwYNGsQ/bJGQkIC6devKnevl5cXvLy/Fg8KiL9EaNWooLC8K3h4+fAigcJ5p9erVZbbjx48rnAesjJubW6nHFAVWZbmFNnbsWERFReHkyZO4cuUKUlJSMGXKFAD/u6aKrrunpye/XygUYtGiRThy5Ajs7OzQpk0b/PLLL0hKStK4X8UlJCTA0dFRJmgClP/7F/83BAp/yakSaKtybkJCAh/svU9RWXE5OTlISkqS2UoikUiwc+dOtG/fHvHx8YiLi0NcXByaNm2K5ORknDx5stQ2VfHu3TscPnwYbdu25duIi4tDy5YtcfnyZTx48EDunNq1a8u85jgOHh4ecvMhHR0dYWJiIlNWp04dAFBrPvGjR4+gp6enNJApcufOHfTt2xcWFhYwNzdH9erV8dlnnwEA0tLSVG6vSEk/C15eXkhNTUVWVpZMefHPUVGQVfQ5GjhwIFq2bInRo0fDzs4OgwYNwq5du1QOalkp80ADAgLg6emJiIgIhIeHw97eng9Mi3v48CHu3Lkj971V9G9U/LtL0feTqj8Tqn5PFl3z4p8xQPG/A/C/a1JVHuAkuoXmyBKNNWzYEJ6entixYwd++OEH7NixA4yxchvd4jhO4Ze+spEsZU8qKysvqrvoF9C2bdsUzid8fzS3NO+PKGlT7dq10alTpzLXM3HiRPTs2RP79+/HsWPHMHPmTISGhuLUqVMICAgoh56qp7R/K22dq4rIyEiEhISoXPepU6fw8uVL7Ny5Ezt37pTbHx4ezs8NLYvdu3cjLy8PS5YswZIlSxS2o27KuMrw7t07tG3bFubm5pg3bx7c3d0hEolw9epVTJ06Va3Rz7Io7XNkZGSEmJgYnD59Gn///TeOHj2KyMhIdOjQAcePH1d6vrW1NTiOU+mPssGDB2P16tUwMzPDwIED5Uaxi0ilUvj5+WHp0qUK9xf/I74s30/l+T1ZXNE1sbGx0bgO8vGiQJaUyZAhQzBz5kzcvHkTERERqF27tsxDLC4uLgrzihbdJiwpF6iVlZXCW8rlOYoLgL+VbWtrW2pwWB4jBrVq1QIA3L59u8x1KVJ0Te/fvy83knP//n25a+7u7o7Jkydj8uTJePjwIfz9/bFkyRJs375dYf3qXAMXFxecOHECGRkZMqOyqvz7a4OLi4vCPK6q5HYNDAxEVFSUym2Fh4fD1taWz3Txvr1792Lfvn1Ys2ZNmf/4CQ8Ph6+vL2bPni23748//kBERIRcIFs0ulaEMYa4uDjUq1dPpvzFixfIysqSGZUtGuFVZwU3d3d3SKVS3L17V+YW9vuio6Px+vVr7N27F23atOHL38/EUUTVz+D7PwvF3bt3DzY2NnIjzqrQ09NDx44d0bFjRyxduhQ///wzZsyYgdOnTyv9DhEIBHB3d1f4foobPHgwZs2ahZcvXyp9sBQovK43btxAx44dNf5uUvVnQtXvyaJrXvwzBij+dwD+929cdKeGEHXQ1AJSJkWjr7NmzcL169flRmO7deuGixcv4vz583xZVlYW1q5dC1dX1xJvNbq7u+PevXt49eoVX3bjxg2Vng5WR2BgIMzNzfHzzz+joKBAbv/77Rf90nv37p3G7VWvXh1t2rTBxo0b8fTpU5l95TF62KhRI9ja2mLNmjUyKXiOHDmC2NhY/unn7OxsuTyS7u7uMDMzk0vd8z51rkG3bt0gkUiwYsUKmfJly5aB4zh07dpV1bdVLgIDA3H+/HmZxRzevHmjUkosBwcHdOrUSWZTJicnB3v37kWPHj3Qv39/uW38+PHIyMjAwYMHy/R+nj17hpiYGAQFBSlsJyQkBHFxcbhw4YLMeVu3bpVZMOHPP//Ey5cv5f49xGIx/vjjD/51fn4+/vjjD1SvXh0NGzZUuZ99+vSBnp4e5s2bJzeyWvSZLxrJfP9nID8/H6tWrZKrz8TERKWpBg4ODvD398eWLVtkPq+3b9/G8ePH0a1bN5XfQxFFqfuKgvOSfm4AoHnz5rh8+XKpbbi7uyMsLAyhoaFo0qSJ0uOCgoKQmJiIdevWye3LycmRmzahiKo/E6p+T75/zd//N4qKilL6TMSVK1dgYWHBZxchRB00IkvKxM3NDS1atMCBAwcAQC6QnTZtGnbs2IGuXbvim2++gbW1NbZs2YL4+Hjs2bNH6S0zABg5ciSWLl2KwMBAjBo1CikpKVizZg18fHz4By/Kg7m5OVavXo2hQ4eiQYMGGDRoEKpXr46nT5/i77//RsuWLflArOiX9zfffIPAwED+oTd1/fbbb2jVqhUaNGiAsWPHws3NDU+ePMHff/9d5tW5DAwMsGjRIoSEhKBt27YIDg7m02+5urri22+/BVA4staxY0cEBQXB29sbAoEA+/btQ3Jyconvyd3dHZaWllizZg3MzMxgYmKCpk2bKpx/17NnT7Rv3x4zZszAkydPUL9+fRw/fhwHDhzAxIkTlebT1JYpU6Zg+/bt6Ny5M77++ms+1VDNmjXx5s2bcpujd/DgQWRkZPC5lItr1qwZvzhCWZaTjYiI4FOcKdKtWzcIBAKEh4fLLI9rbW2NVq1aISQkBMnJyQgLC4OHhwfGjBkjc76joyMWLVqEJ0+eoE6dOoiMjMT169exdu1aGBgYqNxPDw8PzJgxA/Pnz0fr1q3Rr18/CIVCXLp0CY6OjggNDUWLFi1gZWWF4cOH45tvvgHHcdi2bZvCP+4aNmyIyMhITJo0CY0bN4apqSl69uypsO3Fixeja9euaN68OUaNGsWn37KwsNBouel58+YhJiYG3bt3h4uLC1JSUrBq1So4OzvLPNSqSO/evbFt2zY8ePCAn8eqzIQJE0rty9ChQ7Fr1y588cUXOH36NFq2bAmJRIJ79+5h165dOHbsGBo1alRiHar+TKjzPRkaGoru3bujVatWGDlyJN68eYPff/8dPj4+yMzMlOtDVFQUevbsSXNkiWYqPE8C+eCsXLmSAWBNmjRRuP/Ro0esf//+zNLSkolEItakSRP2119/yRyjKG0OY4xt376d1apVixkaGjJ/f3927Ngxpem3iqeRKko1tHv3bpnyorRGly5dkjs+MDCQWVhYMJFIxNzd3dmIESPY5cuX+WPEYjH7+uuvWfXq1RnHcXyKIWV9KOm93b59m/Xt25e/LnXr1mUzZ85UeA1Le6+KREZGsoCAACYUCpm1tTUbMmQIe/78Ob8/NTWVjRs3jnl6ejITExNmYWHBmjZtynbt2iVTj6I0aAcOHGDe3t5MIBDIvLfi/zaMFabt+fbbb5mjoyMzMDBgtWvXZosXL5ZLNYZiqYWKuLi4sOHDh/OvlaXf6t69u9y5ivp+7do11rp1ayYUCpmzszMLDQ1lv/32GwPAkpKS5OrQRM+ePZlIJGJZWVlKjxkxYgQzMDBgqampjDHN0m/5+fmxmjVrltiXdu3aMVtbW1ZQUMD/TOzYsYNNnz6d2draMiMjI9a9e3e5VHBt27ZlPj4+7PLly6x58+ZMJBIxFxcXtmLFCpnjVEm/VWTjxo38Z9LKyoq1bduWT03GGGNnz55lzZo1Y0ZGRszR0ZFNmTKFHTt2jAFgp0+f5o/LzMxkgwcPZpaWljIpnZT9rJ04cYK1bNmSGRkZMXNzc9azZ0929+5dmWPeT4H1vuL/DidPnmS9e/dmjo6OzNDQkDk6OrLg4GD24MGDkv4ZGGOF6ctsbGzY/PnzVWq7OEU/I/n5+WzRokXMx8eHv64NGzZkc+fOZWlpaSWeW0SdnwlVvicZY2zPnj3My8uLCYVC5u3tzfbu3avw+yE2NpYBYCdOnCjxvROiDMcYLaVBCPm4TZw4EX/88QcyMzN1dnnT8hAdHY327dtj9+7d6N+/f4nHtmvXDqmpqVqby/2xmj9/PjZt2oSHDx/q9Geton4mJk6ciJiYGFy5coVGZIlGaI4sIeSjkpOTI/P69evX2LZtG1q1aqXTgQX5MHz77bfIzMxUmMmislTWz8Tr16+xfv16/PTTTxTEEo3RHFlCyEelefPmaNeuHby8vJCcnIwNGzYgPT0dM2fOrOyukY+AqampWrmpK0Jl/UxUq1ZN4ZxZQtRBgSwh5KPSrVs3/Pnnn1i7di04jkODBg2wYcMGmZRPhHxM6GeCVGU0R5YQQgghhFRJNEeWEEIIIYRUSRTIEkIIIYSQKokCWVIpNm/eDI7j8OTJk8ruCvl/7dq1Q7t27Sqlbfo8EEII0QQFsh+hoqChaBOJRHB0dERgYCB+++03maUrCdF1ERERCAsLq+xuyAgKCgLHcZg6dWpldwVA4UpjDRo0gEgkQs2aNTF79myIxWKZY16+fIlp06ahffv2MDMzA8dxiI6OLlO79+7dw5QpU+Dv7w8zMzM4ODige/fuSpdpTUxMRFBQECwtLWFubo7evXvj8ePHMsc8e/YMc+fORZMmTWBlZQUbGxu0a9cOJ06cKLU/Y8aMAcdx6NGjR6nHSqVSbN68Gb169UKNGjVgYmICX19f/PTTT3JLO5elT0VGjBgh871ctHl6esocp+41VaRdu3YK2/rkk09U6lPRlpiYWGo7vr6+CvelpqaC4zh+dbWS2nl/K/pMpqenY+7cuahfvz5MTU1hZGQEX19fTJ06FS9evFD5WpCqj7IWfMTmzZsHNzc3FBQUICkpCdHR0Zg4cSKWLl2KgwcPol69elpre+jQoRg0aBCEQqHW2iDqOX78eGV3QSMRERG4ffs2Jk6cWNldAVD4C/bQoUNwdXXFjh07sHDhwkrNkXnkyBH06dMH7dq1w++//45bt27hp59+QkpKClavXs0fd//+fSxatAi1a9eGn58fzp8/X+a2169fjw0bNuDTTz/FV199hbS0NPzxxx9o1qwZjh49ik6dOvHHZmZmon379khLS8MPP/wAAwMDLFu2DG3btsX169dRrVo1AMCBAwewaNEi9OnTB8OHD4dYLMbWrVvRuXNnbNy4ESEhIQr7cvnyZWzevBkikUilvmdnZyMkJATNmjXDF198AVtbW5w/fx6zZ8/GyZMncerUKf7fVdM+FScUCrF+/XqZMgsLC42vaUmcnZ0RGhoqU+bo6Cjz+vPPP5erjzGGL774Aq6urnByclKpLVVs27ZN5vXWrVsRFRUlV+7l5YXHjx+jU6dOePr0KQYMGICxY8fC0NAQN2/exIYNG7Bv3z48ePCg3PpGdFylritGKoWyJVoZK1x+0cjIiLm4uLDs7OxK6B35GKmyHKsy3bt3l1v2sqwKCgpYXl6eRudu3LiRGRgYsFOnTjEALDo6ulz7pi5vb29Wv359VlBQwJfNmDGDcRzHYmNj+bL09HT2+vVrxhhju3fvllsWVhOXL19mGRkZMmWpqamsevXqrGXLljLlixYtYgDYxYsX+bLY2Fimr6/Ppk+fzpfdvn1bbinX3Nxc5unpyZydnRX2QyqVsubNm7ORI0cqXc64uLy8PHb27Fm58rlz5zIAMkvratKn4oYPH85MTExKPU6da6pM0fLDmvj3338ZALZgwYIytfPq1Su5ZZnfN27cOIXLHBcUFLD69eszY2Nj9u+//8rtT0tLYz/88EOpfSMfDppaQGR06NABM2fOREJCArZv3y6z7969e+jfvz+sra0hEonQqFEjHDx4kN9/+fJlcByHLVu2yNV77NgxcByHv/76C4DyOZFHjhxB27ZtYWZmBnNzczRu3BgREREyx1y4cAGffPIJLCwsYGxsjLZt2+Ls2bPldAWA/fv3w9fXFyKRCL6+vti3bx9GjBgBV1dXmeN+/fVXtGjRAtWqVYORkREaNmyIP//8U66+qKgotGrVCpaWljA1NUXdunXxww8/8Pujo6PBcRx27dqFuXPnwsnJCWZmZujfvz/S0tKQl5eHiRMnwtbWFqampggJCUFeXp5a7ykpKQkhISFwdnaGUCiEg4MDevfuLXP9i8+RLWu/njx5Ao7jsHnzZrn+vH9LUZkDBw6ge/fucHR0hFAohLu7O+bPnw+JRCLT57///hsJCQn8rcf3/51SUlIwatQo2NnZQSQSoX79+nKfz6J+/vrrrwgLC4O7uzuEQiHu3r2r0rUtLjw8HJ07d0b79u3h5eWF8PBwuWPmzJmjcJRW0c+FVCrFnDlz4OjoCGNjY7Rv3x53796Fq6srRowYUWJf7t69i7t372Ls2LEQCP53A+6rr74CY0zm82pmZgZra2v133AJGjZsCFNTU5myatWqoXXr1oiNjZUp//PPP9G4cWM0btyYL/P09ETHjh2xa9cuvszHxwc2NjYy5wqFQnTr1g3Pnz9XODVq27ZtuH37NhYsWKBy3w0NDdGiRQu58r59+wKATP/V6VNBQQHu3buHly9fKmxXIpEgPT1dab/UuabZ2dm4d+8eUlNTFdYlFovVXpAgIiICHMdh8ODBap1XXvbs2YMbN25gxowZaNWqldx+c3Nztf6dSdVHUwuInKFDh+KHH37A8ePHMWbMGADAnTt30LJlSzg5OWHatGkwMTHBrl270KdPH+zZswd9+/ZFo0aNUKtWLezatQvDhw+XqTMyMhJWVlYIDAxU2u7mzZsxcuRI+Pj4YPr06bC0tMS1a9dw9OhR/kvz1KlT6Nq1Kxo2bIjZs2dDT08PmzZtQocOHfDvv/+iSZMmAAp/WaSlpan0fq2traGnV/g33fHjx/Hpp5/C29sboaGheP36NR8AFrd8+XL06tULQ4YMQX5+Pnbu3IkBAwbgr7/+Qvfu3fnr1qNHD9SrVw/z5s2DUChEXFycwsA7NDQURkZGmDZtGuLi4vD777/DwMAAenp6ePv2LebMmYP//vsPmzdvhpubG2bNmqXS+wOATz/9FHfu3MHXX38NV1dXpKSkICoqCk+fPpUL0CuyXyXZvHkzTE1NMWnSJJiamuLUqVOYNWsW0tPTsXjxYgDAjBkzkJaWhufPn2PZsmUAwP+Sz8nJQbt27RAXF4fx48fDzc0Nu3fvxogRI/Du3TtMmDBBpr1NmzYhNzcXY8eOhVAo1Cioe/HiBU6fPs0Hy8HBwVi2bBlWrFgBQ0NDja7D9OnT8csvv6Bnz54IDAzEjRs3EBgYKDdPU5Fr164BABo1aiRT7ujoCGdnZ35/RUtKSpIJ/KRSKW7evImRI0fKHdukSRMcP34cGRkZMDMzK7FOY2NjGBsby5RnZGRg6tSp+OGHH2Bvb18ufQcgF7iq2qfExER4eXlh+PDhcn/kZWdnw9zcHNnZ2bCyskJwcDAWLVokF7gqa6t4ny5evIj27dtj9uzZcn84PnjwACYmJsjPz4ednR3GjBmDWbNmwcDAQGkbBQUF2LVrF1q0aFHq94a2FA2eDB06tFLaJzqosoeEScUraWpBEQsLCxYQEMC/7tixI/Pz82O5ubl8mVQqZS1atGC1a9fmy6ZPn84MDAzYmzdv+LK8vDxmaWnJRo4cKdeHolvJ7969Y2ZmZqxp06YsJydHpi9SqZT/b+3atVlgYCBfxhhj2dnZzM3NjXXu3JkvO336NAOg0vb+7Wx/f3/m4ODA3r17x5cdP36cAZC7fV186kV+fj7z9fVlHTp04MuWLVvGAMjddnxfUV99fX1Zfn4+Xx4cHMw4jmNdu3aVOb558+Zq3Up/+/YtA8AWL15c4nFt27Zlbdu2Lbd+xcfHMwBs06ZNcm2h2C1FRVMLFE1t+fzzz5mxsbHM51DZ1IKwsDAGgG3fvp0vy8/PZ82bN2empqYsPT1dpp/m5uYsJSVFrh51/Prrr8zIyIiv+8GDBwwA27dvn8xxs2fPVnjbtPh1SEpKYgKBgPXp00fmuDlz5jAAbPjw4SX2Z/HixQwAe/r0qdy+xo0bs2bNmik8r7ymFigSExPDOI5jM2fO5MuKbjPPmzdP7viVK1cyAOzevXtK63z48CETiURs6NChcvu+++475ubmxn9mVJ1aoEynTp2Yubk5e/v2bYnHKetT0eet+L/dtGnT2NSpU1lkZCTbsWMHGz58OAPAWrZsKTMtRBFF15Sx//0MF799P3LkSDZnzhy2Z88etnXrVtarVy8GgAUFBZXYzqFDhxgAtmrVqhKPK6KNqQUBAQHMwsJCpfbJx4GmFhCFTE1N+dthb968walTpxAUFISMjAykpqYiNTUVr1+/RmBgIB4+fMg/vTpw4EAUFBRg7969fF3Hjx/Hu3fvMHDgQKXtRUVFISMjA9OmTZN7GKPoFuz169fx8OFDDB48GK9fv+b7kZWVhY4dOyImJgZSqRQAUL9+fURFRam0FY3SvHz5EtevX8fw4cNlHrDo3LkzvL295fpsZGTE///bt2+RlpaG1q1b4+rVq3y5paUlgMLb5EV9U2bYsGEyoyFNmzYFY0xulKpp06Z49uyZ3FPnyhgZGcHQ0BDR0dF4+/atSudURL9K8/71LfrctW7dmr9dWprDhw/D3t4ewcHBfJmBgQG++eYbZGZm4p9//pE5/tNPP0X16tXL1Ofw8HB0796dHzmsXbs2GjZsqHB6gSpOnjwJsViMr776Sqb866+/Vun8nJwcAFD4UKVIJOL3V5SUlBQMHjwYbm5umDJlCl9eWj/fP6a47OxsDBgwAEZGRli4cKHMvgcPHmD58uVYvHhxuTxY+vPPP+PEiRNYuHAh/7Otbp9cXV3BGJMbjQ0NDcXChQsRFBSEQYMGYfPmzViwYAHOnj2rcMpSEWXXFCicesMYkxuN3bBhA2bPno1+/fph6NChOHDgAMaMGYNdu3bhv//+U9pWREQEDAwMEBQUpPQYbUtPTy9xZJ58fGhqAVEoMzMTtra2AIC4uDgwxjBz5kzMnDlT4fEpKSlwcnJC/fr14enpicjISIwaNQpA4bQCGxsbdOjQQWl7jx49AgClqVoA4OHDhwAgN23hfWlpabCysoKVlZXKT+8WSUhIAFAYfBRXt25dmQAVAP766y/89NNPuH79uszc0PfnPg4cOBDr16/H6NGjMW3aNHTs2BH9+vVD//79+ekMRWrWrCnzuiiYrlGjhly5VCpFWloa/yR3SYRCIRYtWoTJkyfDzs4OzZo1Q48ePTBs2DCVbrVqq1+luXPnDn788UecOnVKbs6gKtNGEhISULt2bbnr7OXlxe9/n5ubW5n6Gxsbi2vXrmHYsGGIi4vjy9u1a4eVK1ciPT0d5ubmatVZ1EcPDw+Zcmtra1hZWZV6ftEfA4rmVOfm5sr8saBtWVlZ6NGjBzIyMnDmzBmZ2+Wl9fP9Y94nkUgwaNAg3L17F0eOHJF76n7ChAlo0aIFPv300zL3PzIyEj/++CNGjRqFL7/8UulxpfVJHd9++y1mzpyJEydOYNCgQXL7S7qm6po8eTLWrVuHEydOoFmzZnL7MzMzceDAAQQGBpbLz3cRdTN6mJuby6VkIx83CmSJnOfPnyMtLY3/5Vk0kvjdd98pneP6/i/agQMHYsGCBUhNTYWZmRkOHjyI4OBgmYdNNFHUj8WLF8Pf31/hMUVf5Pn5+Xjz5o1K9VavXh36+vpq9eXff/9Fr1690KZNG6xatQoODg4wMDDApk2bZB5OMzIyQkxMDE6fPo2///4bR48eRWRkJDp06IDjx4/LtKusD8rKGWMq93fixIno2bMn9u/fj2PHjmHmzJkIDQ3FqVOnEBAQUOK5mvZL2S+o9x/WUubdu3do27YtzM3NMW/ePLi7u0MkEuHq1auYOnVqqaPbmihrUFf0cOS3336Lb7/9Vm7/nj17+DRMZbk26nBwcABQeLeh+B8eL1++5OeUa1t+fj769euHmzdv4tixY3J/sFpbW0MoFCp8AKqoTFFAOGbMGPz1118IDw+X+0P51KlTOHr0KPbu3Svz8JxYLEZOTg6ePHkCa2trlf64iIqKwrBhw9C9e3esWbOmxGNL6pO6jIyMUK1aNYXfZaVdU3UVfT6UfW/u378f2dnZGDJkiMp1ljTqn52dzR+jDk9PT1y7dg3Pnj2T+0yTjxMFskROUd6+oqC1Vq1aAApvy6oyyjlw4EDMnTsXe/bsgZ2dHdLT0xWOJrzP3d0dAHD79m250afix5ibm5faj3PnzqF9+/al9hUA4uPj4erqChcXFwD/G/l93/3792Ve79mzByKRCMeOHZO5Zblp0ya5c/X09NCxY0d07NgRS5cuxc8//4wZM2bg9OnTao8al4W7uzsmT56MyZMn4+HDh/D398eSJUvkslOUl6IRw3fv3smUFx8JVSQ6OhqvX7/G3r170aZNG748Pj5e7lhlQaGLiwtu3rwJqVQqMypbNC2h6N+7PDDGEBERgfbt28tNAwCA+fPnIzw8nA9k378279+iLn5tivoYFxcnM2L8+vVrlaaJFP3Bd/nyZZmg9cWLF3j+/DnGjh2r2hssA6lUimHDhuHkyZPYtWsX2rZtK3eMnp4e/Pz8FCb1v3DhAmrVqiV3O/n777/Hpk2bEBYWJjN9pMjTp08BAP369ZPbl5iYCDc3NyxbtqzU/MMXLlzgH2bdtWtXiX+Ql9YndRVNqSk+5UWVa6quolFOZdNrwsPDYWpqil69eqlcp4uLC06dOoWcnBy5PxSLvlPV/Tns2bMnduzYge3bt2P69OlqnUs+TDRHlsg4deoU5s+fDzc3N/4vb1tbW7Rr1w5//PGHwhGTV69eybz28vKCn58fIiMjERkZCQcHB5lgRJEuXbrAzMwMoaGhck9jF43wNWzYEO7u7vj1118Vpox5vx+azJF1cHCAv78/tmzZInPrOioqSi4Vk76+PjiOkxlBe/LkCfbv3y9znKLRjaLgQt0UWprKzs6Wu6bu7u4wMzPTah/Mzc1hY2ODmJgYmfJVq1aVem7RaO/7o875+fkKzzUxMVE41aBbt25ISkpCZGQkXyYWi/H777/D1NS0XH75Fzl79iyePHmCkJAQ9O/fX24bOHAgTp8+za84VPRH2fvXJisrSy41WMeOHSEQCGQWLgCAFStWqNQvHx8feHp6Yu3atTKf1dWrV4PjOPTv31+j96uOr7/+GpGRkVi1apXCoLJI//79cenSJZlg9v79+zh16hQGDBggc+zixYvx66+/4ocffpDLPlGkQ4cO2Ldvn9xWvXp1NGrUCPv27UPPnj1L7HtsbCy6d+8OV1dX/PXXXyWO2qvSJ0Bx+q3c3FyFacPmz58PxpjciluqXlNF6bfS09Plfu4ZY/jpp58AQOFdt1evXuHEiRPo27evXFaIknTr1g0FBQX4448/ZMqlUilWr14NQ0NDdOzYUeX6gMLPiZ+fHxYsWKBw0Y6MjAzMmDFDrTpJ1UYjsh+xI0eO4N69exCLxUhOTsapU6cQFRUFFxcXHDx4UOaWz8qVK9GqVSv4+flhzJgxqFWrFpKTk3H+/Hk8f/4cN27ckKl74MCBmDVrFkQiEUaNGiU3T7E4c3NzLFu2DKNHj0bjxo0xePBgWFlZ4caNG8jOzsaWLVugp6eH9evXo2vXrvDx8UFISAicnJyQmJiI06dPw9zcHIcOHQIAjebIAoUPXHTv3h2tWrXCyJEj8ebNG/z+++/w8fGRCZ67d++OpUuX4pNPPsHgwYORkpKClStXwsPDAzdv3uSPmzdvHmJiYtC9e3e4uLggJSUFq1atgrOzs8IciNrw4MEDdOzYEUFBQfD29oZAIMC+ffuQnJxc6kh5WY0ePRoLFy7E6NGj0ahRI8TExKi04k6LFi1gZWWF4cOH45tvvgHHcdi2bZvC6RQNGzZEZGQkJk2ahMaNG8PU1BQ9e/bE2LFj8ccff2DEiBG4cuUKXF1d8eeff+Ls2bMICwsr1wdGwsPDoa+vz6ddK65Xr16YMWMGdu7ciUmTJqFLly6oWbMmRo0ahe+//x76+vrYuHEjqlevzo8kAoCdnR0mTJiAJUuWoFevXvjkk09w48YNHDlyBDY2NirNL1y8eDF69eqFLl26YNCgQbh9+zZWrFiB0aNH8/OFixQFM3fu3AFQeHfmzJkzAIAff/yRP27OnDmYO3cuTp8+LZN7uLiwsDCsWrUKzZs3h7Gxsdzof9++fWFiYgKgMLftunXr0L17d3z33XcwMDDA0qVLYWdnh8mTJ/Pn7Nu3D1OmTEHt2rXh5eUlV2fnzp1hZ2eHmjVrys3vBgqn2djZ2aFPnz4lXreMjAwEBgbi7du3+P777/H333/L7Hd3d0fz5s3V6hOgOP1WUlISAgICEBwczC9Je+zYMRw+fBiffPIJevfurdE1VZR+6+rVqwgODkZwcDA8PDyQk5ODffv24ezZsxg7diwaNGggdy0iIyMhFovVmlYAFI6edunSBd9++y0uXryIFi1aIDs7GwcPHsTZs2fx008/qf2ApYGBAfbu3YtOnTqhTZs2CAoKQsuWLWFgYIA7d+4gIiICVlZWlEv2Y1IpuRJIpSpK8VO0GRoaMnt7e9a5c2e2fPlyPnVQcY8ePWLDhg1j9vb2zMDAgDk5ObEePXqwP//8U+7Yhw8f8vWfOXNGaR+Kr+R08OBB1qJFC2ZkZMTMzc1ZkyZN2I4dO2SOuXbtGuvXrx+rVq0aEwqFzMXFhQUFBbGTJ09qflHes2fPHubl5cWEQiHz9vZme/fuZcOHD5dL8bRhwwZWu3ZtJhQKmaenJ9u0aZNcWqWTJ0+y3r17M0dHR2ZoaMgcHR1ZcHAwe/DgAX9MUYqc3bt3K7xGxdOkFbVRUkqv96WmprJx48YxT09PZmJiwiwsLFjTpk3Zrl27ZI5Tln6rLP3Kzs5mo0aNYhYWFszMzIwFBQWxlJQUldJvnT17ljVr1owZGRkxR0dHNmXKFHbs2DG5tFCZmZls8ODBzNLSUi5NWnJyMgsJCWE2NjbM0NCQ+fn5yaUDK0qHVFp6MmXy8/NZtWrVWOvWrUs8zs3NTSal3ZUrV1jTpk2ZoaEhq1mzJlu6dKnC6yAWi9nMmTOZvb09MzIyYh06dGCxsbGsWrVq7IsvvlCpj/v27WP+/v5MKBQyZ2dn9uOPP8qkVCvy/vdC8e19kydPllsZTJGiFFLKtuI//8+ePWP9+/dn5ubmzNTUlPXo0YM9fPhQ5piiz5myrbSUYaqm3yr6XCjb3k+fpU6fFKXfevv2Lfvss8+Yh4cHMzY2ZkKhkPn4+LCff/5Z7t9JnWuqKP3W48eP2YABA5irqysTiUTM2NiYNWzYkK1Zs0YmreH7mjVrxmxtbZlYLC71uhWXm5vL5syZwzw9PZlQKGQmJiasWbNmMmnxFFGWfqvI27dv2axZs5ifnx8zNjZmIpGI+fr6sunTp7OXL1+q3U9SdXGMqfHECCEfqREjRiA6OlpuJTJCKsO7d+9gZWWFn376qVJuozZp0gQuLi7YvXt3hbdNCCHvo6kFhBCiwxQ9KBMWFgYAJd7W15b09HTcuHFD4VLUhBBS0SiQJaQKS0tLKzWpfXksy0kqT2RkJDZv3oxu3brB1NQUZ86cwY4dO9ClSxe0bNmywvtjbm5eYQ8qEkJIaSiQJaQKmzBhQqkjYzR7qGqrV68eBAIBfvnlF6Snp/MPgBU9mEUIIR8zmiNLSBV29+5dPqWTMhWZq5YQQgipSBTIEkIIIYSQKokWRCCEEEIIIVUSBbKEEEIIIaRKokCWEEIIIYRUSRTIEkIIIYSQKokCWUIIIYQQUiV98HlkpVIpXrx4ATMzM3AcV9ndIYQQQkgVxxhDRkYGHB0doadHY4KV6YMPZF+8eIEaNWpUdjcIIYSQCsNxHIRCIezt7WFhYYHMzEy8evUK6enpld21D8qzZ8/g7Oxc2d34qH3wgayZmRmAwg+bubl5JfeGEEIIUV1ycjKmTZuGn376CU5OTiqds3v3bkRFRaFOnTqwsrKCp6cnjhw5gri4OCxevJgGd8pBeno6atSowccYpPJ88IFs0XQCc3NzCmQJIYRUKRzHYejQoahRowZMTU1l9t28eRNRUVGQSCTo0KEDGjVqBABo2rQp1q5dC5FIhO+//x5mZmZo3bo1goODcfXqVfj4+FTGW/kg0ZTFykcTOwghhBAdkJubi0uXLuHp06d8mZmZGfr06SMXxO7atQtTp05FYmIi0tLSMHnyZISHhwMAfH194eDggLp16/IjhqampvDw8MCDBw/w9u3bintThGgZBbKEEEKIDrh58ybmz5+PBw8eAADevn0LqVSKy5cvo0+fPvxxr169wm+//YZRo0Zh6dKlmDdvHkJCQrBlyxbExsYCANzc3JCeno7U1FT+vHr16iExMREvXryo0PdFiDZRIEsIIYRoyevXrwEUPuVeRCKRQCKR8K+lUikAoE6dOhCJRFi/fj26dOmCLl264OXLlzA1NUViYiLu3LkDALh+/TocHBzQpEkTAIC+vj569OgBGxsbHD9+HADQqFEjxMfHIzk5mW+ncePGyMrKwrNnz7T7pgmpQBTIEkIIIVqwfft29OvXT65cX18f+vr6AAqnExSlbwoPD8fr16+RmZmJ8ePHIyYmBk5OTnByckKtWrUQHR0NAEhLS4ORkRHevXvH12lubg4/Pz9cu3YNANCsWTNkZGQgMTGRP8bLywuZmZm4deuWTCBNSFVGgSwhhBCiBZ6ensjNzUVSUhL/UFB6ejr279+PsWPHonfv3ggNDcWFCxcAAOPGjcPnn38OBwcHuLq6wsjICIwxGBsbo0GDBjh79iyAwjmw2dnZePz4Md+WoaEh8vPzYWtrC8YY3N3dYWhoiJs3byI3NxdAYQD95Zdfonfv3nwgTUhVR4EsIYQQogWurq6wtLTE+fPn+bKjR4/iwIEDaNKkCb7//nvk5uZixYoVuHz5MgDA29sbWVlZuHfvHoDCp+L19fXRqFEjPH78GLm5ufD09ISbmxsOHjyIR48eAQCePHmCf//9F61ateLbatGiBWxtbWX61KNHD9SpU0fbb52QCvPBp98ihBBCtEEikciNbDLG8PjxY7i7u8PS0hK+vr6IiYlB3759IZVK4e3tjXr16sHT0xMA4ODggJkzZ+LUqVNo1KgRPD09YWZmhvj4eIjFYggEhb+m69SpA4FAgMuXL6NVq1aYMGECfvjhB8yYMQM2NjZ4+PAhGjdujDZt2vCjv99//33FXhBCKgEFsoQQQkgpJBIJOI6TWY5U0e35gwcP4qeffsLhw4dRvXp1NGnSBH/88QcAQE9PD76+vsjMzMSaNWtw/PhxvH79GkKhEHFxcUhJSYGtrS1cXV2RnJyMpKQkftUoGxsb1KlTBydPnkSrVq3g7OyMZcuW4fz580hISMCIESP4PLKEfExoagEhhBBSzPtZBoDCoPX9IBYozB7Qs2dPPjMBULgYgb6+Pp4/fw4AqF+/PjIzMxEXF8cfs379ely9ehUjRozAsWPHMGbMGKSmpvLHBAQEIDExESdOnMDjx49x9OhRiEQiPn1WkWrVqqFHjx4YN24cBbHko0WBLCGEkI/OgwcP8N9//wEoHG1ljEEqlfIBbNHtecYYCgoKcOLECSxZsgQnTpzg67C3t0dSUhLi4+P5Y+3t7WFjY8PPeXV0dISTkxNiYmIAALGxsTh37hxatGiBXr16QSQSoaCgACkpKXj48CGAwowD3bt3x+7duzF06FAcPnwYeXl5GDduHNauXVsxF4iQKoICWUIIIR8kxhgfpL4vMzMTe/fu5bMA6Ovr89MGigLYa9eu4dKlS+A4Dnv37sXWrVvx/PlzzJs3D7t27YJYLIa9vT3c3Nz4gLhIkyZNcPHiReTl5cHMzAz+/v58IGtgYAAjIyN+oYL79+/j4sWLsLGxwcWLFwEAlpaWGDJkCDZu3IizZ8/it99+g0gkgoGBgVavFyFVEc2RJYQQ8kEqeuIfAN69e4eUlBTUqVMHpqammDZtmsyxGRkZOHv2LGxsbLB27Vo8fPgQRkZGqF+/PgwMDPDzzz/D2dkZv/zyC44ePQpvb2/4+vqicePGuHjxIsRiMd9Wy5YtMW/ePKSmpsLJyQlNmzbFyZMnIRaL4eHhgY4dOyIyMhIxMTFIT0/H2LFjERwcjGrVqvH90dfXh52dXcVdLEKqKApkCSGEfJBu376N/fv34/z58xAIBKhWrRp+/vln2NvbQywW4/Tp03BxcUGdOnVw6dIl/P777zAyMsLQoUPRu3dvbN68GatXr8bgwYP5h6569eqF69evIzY2Fr6+vmjVqhX27duH1NRU2NvbAygcdc3NzUV8fDycnJzg6emJnJwc/Pfff2jVqhWGDRvGp9lq0KABzMzMKvMyEVKl0dQCQgghH5xHjx5hxYoVyMrKwvfff4/ly5ejX79+/DSDV69eYdWqVYiIiAAA1KpVC7Vq1YK+vj569+4NAOjTpw8aNWoks4KWh4cHTE1N8eTJE4jFYjRv3hwGBgb4888/kZOTg7y8PERFRUEqlSImJoafNxscHAwLCwu+nkaNGqFt27YUxBJSRjQiSwgh5IOzZcsWZGdnIywsDCKRCEDhAgVFrKys0K5dO35VLXt7e7i4uODFixf8MZaWlnBxcUFCQgLS0tJgYWEBgUAANzc3vHjxAomJiXBxccHgwYNx5MgRXLp0CWlpaRgwYADq16/P54AViUSYNGlSxb15Qj4iFMiq6Pbt2ygoKNDoXAMDA/j6+lZq/WVpQ9v1q9oGXSPduEaxsbEQi8Vq1y8QCODl5aVJ1wjhFWUWKGmJ1aysLOjp6cHS0pIPYgEgJycHRkZGAAqDy7p162Lv3r149+4dLC0tUatWLfz333949OgR3N3dARSO1N69excPHz7kU1z5+fkhIiICcXFxcHFxQUhICP+Al7e3N1q2bCmXqosQoh0UyKqooKCAn/+krqSkpEqvvyxtaLt+Vduga6Qb10gsFsPPz0/t+m/duqX2OYQAhcErULiggCoBorGxMRo0aIAlS5bgu+++Q35+PoRCIczNzVGtWjV0794dLi4ucHV1hbGxMc6fP4+uXbuiZs2aMDIywtWrV/lA1tPTE8ePH8ft27f5QNbX1xfW1tYQCoUAAENDQwQEBCAgIEBLV4AQogwFsoQQQnQKY4xPgwVAJni9fPkyjh49ColEgsGDB6N27dpy53Mch169esHQ0BBnzpxBtWrVYGpqisTERMTExODKlSv48ccf4erqCjc3N/z777/o2rUrHB0d4ezsjJs3b2LAgAEAgJo1a0IgECAhIYGv39XVFStWrNDiFSCEqKpS733ExMSgZ8+ecHR0BMdx2L9/P7+voKAAU6dOhZ+fH0xMTODo6Ihhw4bJzF8ihBBStRQUFCAqKorPvcoY4/O9Fnk/iAWA1NRUjB49GtHR0YiMjIREIkFiYiImTpyIq1evAvjfqO37PvnkE/z000+YPn06Pv/8cyxcuBDr1q1DcnIyrl27BpFIBH9/f8TGxgIAbG1tYWNjgytXrvDTZ8zNzTFnzhzMnj1bK9eDEFI2lRrIZmVloX79+li5cqXcvuzsbFy9ehUzZ87E1atXsXfvXty/fx+9evWqhJ4SQggpD9nZ2Th9+jQfKHIcJ5Pv9cWLF/jvv/+QmZkpc97bt28xY8YMtG/fHrNnz8a8efNQo0YNREZG8vWUxNDQEACQn5+PV69e8Tlba9WqhefPn+PJkycQCATo2rUrfv75Z/5BLaAwwCWE6KZKnVrQtWtXdO3aVeE+CwsLREVFyZStWLECTZo0wdOnT1GzZs2K6CIhhJByZGFhgZ9//lmmLDMzE4cOHcLOnTuRmZkJCwsLODo6IigoCG3atIGJiQmaNm2K8+fPo3PnzgAKswwEBgZixYoVyM3NlXmoqwhjDM+ePYOxsTFMTU2RkJCA7du3o2nTpvyDh35+fliyZAns7e3BGIO3t7f2LwIhpNxUqTmyaWlp4DgOlpaWSo/Jy8tDXl4e/zo9Pb0CekYIIaQ4qVSq8OGslJQUREdHw9fXF97e3khJScGLFy8wZswYdOnSBenp6diyZQuWLl2KNm3aQCQSwdfXFwcOHJBZbjYgIACZmZl49OgRfHx85Nq5fPkyDhw4gDdv3iAhIQGZmZlo0qQJvvrqK36U1c7OjlbQIqQKqzKBbG5uLqZOnYrg4GCYm5srPS40NBRz586twJ4RQghRpCiITUhIgKGhIRwcHAAAiYmJ2LJlC4YOHQpvb2/Y2dnh008/haurK/Ly8hAbG4vU1FQkJibizp078PHxgZeXF6RSKW7fvo0GDRoAABwcHODs7Iz//vtPYSDr6+sLxhieP3+OWrVqwd/fv8LeOyGkYlSJRHcFBQUICgoCYwyrV68u8djp06cjLS2N3549e1ZBvSSEkA+Logeo3t8nFosVHpORkYGbN2/i0qVL6NSpE0aNGoVp06bhzJkzAAAfHx/UrFkTiYmJkEqlMDExgaurKzZv3oygoCAsXboUIpEIZmZmOH/+PIDCeapFGQaAwmkDQqEQAQEBOHr0qMI+GhkZoUmTJujXrx8FsYR8oHQ+kC0KYhMSEhAVFVXiaCwAPlfg+xshhBD1vT8toHjAqqenB4FAAD09PZkFMsRiMf744w9MnDgR+/fvx08//YTw8HCYmppi48aNSEpKgqGhIRwdHfH8+XO8fPkSAHDixAkcOnQIISEh2LlzJ2bPno2GDRviypUrkEqlMDY2RtOmTXH27FmZfrRt2xZ16tTRaJEOQkjVp9OBbFEQ+/DhQ5w4cYJ/ypQQQkj5kkqlOH/+PCIiIgAUTuc6c+YMNm7cCAByc12fPn2KJUuWYNCgQfjuu+9w5swZSCQSCAQC1KlTB3p6enByckKzZs1gZ2eHUaNGITs7mx9h9fb2xps3bxAfHw8AePToEaRSKfr06QOhUIgHDx7g9u3bSEhIwKtXr8BxHHx9ffHs2TPk5OTwWQpat26NBQsWyGQZIIR8PCo1kM3MzMT169dx/fp1AEB8fDyuX7+Op0+foqCgAP3798fly5cRHh4OiUSCpKQkJCUlIT8/vzK7TQghH4R79+7xGQTy8/Nx7tw5rF27FkDh3a0bN27g77//BgDExcXh5s2bKCgoQH5+PpYtW4b79+9j8ODBsLCwwKxZs7Bz504AgIeHB0xMTGBiYsK35ezszM9nBYD69etDLBbjyZMn/Ovnz59j+/btOHPmDHbv3o2+ffvi1atXeP78OYDCoPXcuXP8MrOEEFKpgezly5dllvWbNGkSAgICMGvWLCQmJuLgwYN4/vw5/P394eDgwG/nzp2rzG4TQsgHISsrC0DhdACRSITGjRtDT08Pz58/B8dxyMzMRFJSEtq2bYvg4GBcunQJBgYG2LdvH+7evYvJkyejV69emDt3LgYPHoydO3ciKSkJTk5O8PT0xN27d/m2rK2tUadOHTx8+BBAYbBrY2ODp0+fIicnB82aNcPYsWNx6NAhzJ49GxKJBAMHDsS///6Lhg0bAijMBVtavlhCyMelUu/FtGvXTiaVSnEl7SOEEKKe4ku/NmzYkA8SAcDR0RHm5ua4fPkybGxskJaWBiMjI3Tq1AnTpk3jj0tNTUW1atVQt25diMViCAQC9OnTBzt27MDt27fRqVMnuLu749SpU3yOV4FAAA8PD4jFYty9exfe3t6wtrbGvXv38PLlS9SqVQshISEYOHAgPdtACFGZTs+RJYQQUnZFgwLFRzMZYzh8+DCfDcba2hq1a9dGdHQ0RCIRpkyZgjZt2iAlJQVA4TxaqVQKCwsL5ObmQiqVQiAQQCqVwsbGBkKhEMnJyQAANzc3MMZw584dvj07OztIpVJcuHABADBs2DDMnz8ftWrVAgAIBAIKYgkhaqHZ8SoyMDBAUlKSxudWdv1laUPb9avaBl0j3bhGAoEAt27dUrt+ehin4kgkEnAcxz+gVRTAPn36FCkpKfDx8YGRkREYY0hISEB4eDi+/PJLmJubo379+ti6dSsAwNLSEs7Ozrh9+zYyMjJgZmYGoHC+a15eHm7evMmntcrOzoahoSGfPaAoZ2x0dDQ/6lurVi389ttvcHFxAWMMbm5uFXZNCCEfJvrNoiJfX98qXX9FtFHV66+INqp6/QD4pT2J7tLX1wdQ+ECtSCSCvr4+pk+fjnPnzsHS0hJ169bF4sWLoaenh5YtW2Lz5s149uwZatSoAQ8PD+Tn5+P27dvw9fWFi4sLAODGjRto1aoVgMIHs9zc3LB8+XJMnDgR9evXR2RkJAwNDdGsWTMAgIuLCwYNGsSfDxTmdS0afSWEkPJAUwsIIUQHKVuMgDEGiUSicL9UKkVKSgpOnjyJfv36oU+fPggNDUV4eDg8PDxw6NAh/PDDD/j333+xb98+AECNGjVQrVo1Pj+rg4MDHB0d+cULnJ2dUb16dVy6dIlvx8rKCt999x2MjIwwd+5cBAYGYseOHRgwYADq1q0LADAzM0Pfvn35VbgIIUQbaESWEEJ0UPG8rUU4juNHXIubPHkysrKyYGtri7Fjx8LAwABLlixBdHQ0wsLCYGFhgWbNmuGTTz7BkSNH0LlzZ1hZWaF+/fqIiYnBoEGDYGVlBW9vb1y4cAFffPEFnJyc4OXlhYMHD8LPzw9XrlxBkyZN0L59e6xYsQLnzp2DmZkZ6tevr83LQQghClEgq4BYLIZEIqnsbhCiU/T19WmeawW6d+8epk6dih07dsDY2JgvT0pKwqlTp3D79m00aNAA7dq1g42NDQCgXr16WLt2LQYNGoRPPvkEAPDq1Sts27ZNJgtM+/btMXPmTKSmpsLU1BRNmjRBWFgYAMDU1BR+fn44ffo0CgoKYGpqis8++wyvXr3Chg0bYG9vD2dnZwCFQXXRdANCCKkM9FupGLFYjOfPn1PqL0KK4TgOzs7OFMxqwZMnT+Di4iKTVcDIyAgvX77E1atX+WBx37592LZtGywtLVG7dm3s3LkTMTExmDJlCpydneHj4wNbW1vY29vz9TRu3Bjbtm3jswkAQLNmzZCTk4O4uDi4urrCz88PYrGYnxfr6OiIzMxM3LhxA40aNYKlpSV+/PFHuQcCKacrIaSy0RzZYiQSCQWxhChQNDeTlK9Nmzbhu+++w/379wGAv8bVqlWDn58f/vnnHwCF179atWoYO3YsNm7ciOnTpyMsLAzZ2dk4fPgwAKBOnTqwtrZGamoqX7+7uzuMjY3x8OFDflVEoVAIDw8PXL16FWKxGPb29jAyMuIXm/H29saBAwfQqFEj/vtQ1awWhBBSkWhohRBCKpG7uzssLCzw4MEDeHp68oGjqakp2rdvj927dwMoDGSbNWsGQ0NDXL58GceOHcOlS5eQnJwMExMTZGVlwdLSEg4ODnj69ClSU1P5KQe+vr549OgR3rx5w4/W+vn54dKlS8jJyYGZmRm2bNkCJycnAJBZXpZGXQkhuoxGZAkhpBLVrl0bxsbGSEhIAFCYb/fBgwdYu3Yt9u3bhxcvXiA1NRV6enowNDTEn3/+iaVLlyInJwcTJ07k568+evQIQGF6tDdv3uD58+d8G/Xr18fVq1eRmJjIl3399dfYunUrnxu2KIglhJCqhEZkCSGkEjk4OMDe3h5nzpxBbGwsHjx4AACoW7cuunTpgoiICJw/fx49e/ZEQkICdu/ejRYtWuDrr7+Gnp4e0tLSkJiYiEePHqFevXqoV68e9uzZg9u3b/OLFbRv3x7Gxsbw8fHh2y0KYAkhpCqjQFZFqampGs+d5TiOv8VXWfWXpQ1t169qG3SNdOMaxcbG8qs3qUMgENBiCkrUqVMHZ86cQe3atfHbb7/ByckJFhYWAAqzF0RHR6Nnz55IT0+HSCSCnZ0d9PT08ObNG8TExEAgEODcuXPo27cvvLy80KJFC9SpU4ev38LCAl26dKmst0cIIVpDgayKGGOoUaOGRuc+e/as0usvSxvarl/VNuga6cY1EovF8PPzU7t+TZa1/VjUqlULDg4OqF+/Pry9vWUeqmvSpAk2bNgAoHA+raurK7Zs2YK7d+/i8ePHaNy4Mfz8/GBpaYmCggIYGhpiypQplfVWCCGkQlEgSwghlaxWrVqwtLTE3bt3AUBmwYN69eohLS0NDx8+RO3atTF16lTs2rULCQkJGDhwIDp37gyRSFRZXSeEkEpFgSwhhFQyKysrODs74/Hjx3j9+jWqVasGqVQKPT09ODg4wM3NDc+ePeMfDBsxYkRld5kQQnRCpWYtiImJQc+ePeHo6AiO47B//36Z/Xv37kWXLl1QrVo1cByH69evV0o/CSFE21xdXfH8+XO5KRjW1tbYtWsXOnToUEk9I4QQ3VWpgWxWVhbq16+PlStXKt3fqlUrLFq0qIJ7RgghFat+/foYNGgQateuDQDQ06PsiIQQUppKnVrQtWtXdO3aVen+oUOHAihcvpEQQj5k7u7ucHd3r+xuEEJIlfLBzZHNy8tDXl4e/zo9Pb0Se0MIIYQQQrTlg7t3FRoaCgsLC37TNBURIYQQQgjRbR9cIDt9+nSkpaXxm6q5MQkhRNukUikKCgoquxuEEPLB+OCmFgiFQgiFwsruBiGEyCgoKMDdu3chFovh4+NDuV8JIaQcfHCBLCGE6Jrs7GzExsZWdjcIIeSDU6mBbGZmJuLi4vjX8fHxuH79OqytrVGzZk28efMGT58+xYsXLwAA9+/fBwDY29vD3t6+UvpMCCHqePfuHR49egQA4DgO3t7eNBpLCCHlpFLnyF6+fBkBAQEICAgAAEyaNAkBAQGYNWsWAODgwYMICAhA9+7dAQCDBg1CQEAA1qxZU2l9JoQQVTDGkJSUxAexRkZGqFevHgWxhBBSjip1RLZdu3ZgjCndP2LECFqKkRBS5UilUiQkJODNmzcAgGrVqsHFxQUcx1Vyzwgh5MNCc2QJIaQcicVi3Lt3j89nXaNGDVSvXp2CWEII0QIKZFXEcZzGqbxU+QWm7frL0oa261e1DbpGunGNBAIBbt26pXb9AsGH/3WTm5uLO3fu8K89PDxgYWFRiT0ihJAPG8dKurf/AUhPT4eFhQXS0tJgbm5e6vF5eXn8w2WEEFmOjo6U3k6J9PR0PHz4kH/t7e0NIyOjSuwRIURb1I0tiPZ8+EMkhBCiZa9evcLTp08BAIaGhvD09ISBgUEl94oQQj58H9zKXoQQUlEYY3j69CkfxFpaWsLHx4eCWEKIzouJiUHPnj3h6OgIjuOwf//+Us+Jjo5GgwYNIBQK4eHhgc2bN2u9n6WhQJYQ8lFgjEEikchtYrEYErFY7fL8/HzExsbi1atXAAAHBwe4ublBT4++Vgkhui8rKwv169fHypUrVTo+Pj4e3bt3R/v27XH9+nVMnDgRo0ePxrFjx7Tc05LR1AJCyEdBKpVix7btyC8oKHNdhoaG8KhTBwaGhSOvTx7H48bVa7CwtsKnn35a5voJIUTbunbtiq5du6p8/Jo1a+Dm5oYlS5YAALy8vHDmzBksW7YMgYGB2upmqSiQJYR8NPILCtC5dduy1SER411uNv/aSmQCW7/6AIB/r14qU92EEKJIbm4u8vPzSz2OMSaXgUYoFJbLQ7rnz59Hp06dZMoCAwMxceLEMtddFhTIEkKIEhKpFACg///TBXLF+UjPyy3cyRiqGZvx+wghRBtyc3NhZWWP3Ny0Uo81NTVFZmamTNns2bMxZ86cMvcjKSkJdnZ2MmV2dnZIT09HTk5OpWVpoUCWEEIUYIzhVWY6AIbqphbIKchHtrhwRETA6cHK2IQWOSCEaF1+fj5yc9PQt+tyGBgoDxYLCnKw78gEPHv2TCYl2IeeMpECWUIIUSBHnA9wwJvXb8Hp6fFBq5HAEKaGQgpiCSEVipmaghkYK99foA8AMDc310puW3t7eyQnJ8uUJScnw9zcvFJzZlMgq6LU1FRounYEx3GwsbGp1PrL0oa261e1DbpGunGNYmNjIRaL1a5fIBDAy8tLk65VOCljSM/JxqG//kJ4eDh27doFADAzFMHIwLCSe0cIIRWvefPmOHz4sExZVFQUmjdvXkk9KkSBrIoYY6hRo4ZG56qyZKi26y9LG9quX9U26BrpxjUSi8Xw8/NTu35NlrWtLDkF+ZBIpVi7di2Sk5Mxbtw4/P777xBLJZXdNULIR0oi0IOegfI5+RKm3nz9zMxMxMXF8a/j4+Nx/fp1WFtbo2bNmpg+fToSExOxdetWAMAXX3yBFStWYMqUKRg5ciROnTqFXbt24e+//9bsDZUTekqBEELeI2VSZOTmYMeOHUhOToaTkxM8PT2RlpaGHHEBxP//ABghhFRlly9fRkBAAAICAgAAkyZNQkBAAGbNmgUAePnyJb/YCwC4ubnh77//RlRUFOrXr48lS5Zg/fr1lZp6C6jkEdmYmBgsXrwYV65cwcuXL7Fv3z706dOH388Yw+zZs7Fu3Tq8e/cOLVu2xOrVq1G7du3K6zQh5IOWlZ8HcIVTLXbs2IHatWtDKpVCqC+AkaEQ+jQ3lhBSCQoMBYCh8rCtQM2Qrl27diVORVO0ale7du1w7do1tdrRtkodkS1tVYlffvkFv/32G9asWYMLFy7AxMQEgYGByM3NreCeEkI+BlImRXZBPvT09DBk8GD41PWEudAIdqYWsDI2hUhgQA95EUKIDqnUEdmSVpVgjCEsLAw//vgjevfuDQDYunUr7OzssH//fgwaNKgiu0oI+ShwMDYQwkBfH0J9AQWthBCdITbQA1fCHFmxmnNkPxQ6+67j4+ORlJQks4qEhYUFmjZtivPnzys9Ly8vD+np6TIbIYSoQo/jYCYU0cgrIYRUETobyCYlJQGAwlUkivYpEhoaCgsLC37T9AluQgghhBBdITbUR4FQ+SY21K/sLlYKnQ1kNTV9+nSkpaXxm6ophQghhBBCSNWis3lk7e3tARSuGuHg4MCXJycnw9/fX+l5QqHwg1+OjRBCCCEfF4lAD5yghDyykg9ubFIlOvuu3dzcYG9vj5MnT/Jl6enpuHDhQqWvIkEIIYQQQipfpY7IlraqxMSJE/HTTz+hdu3acHNzw8yZM+Ho6CiTa5YQQggh5EOXL9SDVKh8HqxYd8cmtapSA9nLly+jffv2/OtJkyYBAIYPH47NmzdjypQpyMrKwtixY/Hu3Tu0atUKR48ehUgkqqwuE0IIIYQQHVGpgWxpq0pwHId58+Zh3rx5FdgrQgghhBDdIjbQByshM4FESlkLCCGEEEIIqTJ0NmuBruE4TuNUXqokVtd2/WVpQ9v1q9oGXSPduEYCgQC3bt1Su36BgL5uCCFEUxIDPaCElb0+1qwF9JtFRTY2NlW6/opoo6rXXxFtVPX6AcDLy0vrbRBCCCGqoECWEEIIIUTH6QsZBELlzxWhhGeOPmQf5zg0IYQQQgip8mhElhDycfhIRysIIR8Ggb4UAoFU+QH6Jez7gFEgSwj5KDAAb9PeIWL/Xq21IRTR8tiEEFKRKJAlhHwUOI6DlYUlOrduq7U2/r16SWt1E0I+boZCKQRCidL9etKPc0SW5sgSQgghhJAqiUZkCSGEEEJ0nMBACoFBCaOuYhqRJYQQQgghpMqgEVkVpaamgmn41DPHcaUmqtd2/WVpQ9v1q9oGXSPduEaxsbEQi8Vq1y8QCGgxBUII0ZCBgQQGhsrnyHJi5fs+ZBTIqogxhho1amh0ripLhmq7/rK0oe36VW2DrpFuXCOxWAw/Pz+169dkWVtCCCGkJBTIEkIIIYToOAMDKQxKmiNb0r4PGM2RJYQQQgghVZLOB7IZGRmYOHEiXFxcYGRkhBYtWuDSJcrVSAghhJCPh6FQWur2MdL5QHb06NGIiorCtm3bcOvWLXTp0gWdOnVCYmJiZXeNEEIIIYRUIp0OZHNycrBnzx788ssvaNOmDTw8PDBnzhx4eHhg9erVld09QgghhJAKYWAogaFQ+VZSRoMPmU4/7CUWiyGRSCASiWTKjYyMcObMGYXn5OXlIS8vj3+dnp6u1T4SQgghhJDKodMjsmZmZmjevDnmz5+PFy9eQCKRYPv27Th//jxevnyp8JzQ0FBYWFjwm6apiAghhBBCdIVAIC1108TKlSvh6uoKkUiEpk2b4uLFiyUeHxYWhrp168LIyAg1atTAt99+i9zcXI3aLg86HcgCwLZt28AYg5OTE4RCIX777TcEBwdDT09x16dPn460tDR+UzU3JiGEEELIxyQyMhKTJk3C7NmzcfXqVdSvXx+BgYFISUlReHxERASmTZuG2bNnIzY2Fhs2bEBkZCR++OGHCu75/+h8IOvu7o5//vkHmZmZePbsGS5evIiCggLUqlVL4fFCoRDm5uYyGyGEEEJIVVbS/NiiTV1Lly7FmDFjEBISAm9vb6xZswbGxsbYuHGjwuPPnTuHli1bYvDgwXB1dUWXLl0QHBxc6iguAMyePRsJCQlq97E0Oh/IFjExMYGDgwPevn2LY8eOoXfv3pXdJUIIIYQQnZKeni6zvf/c0Pvy8/Nx5coVdOrUiS/T09NDp06dcP78eYXntGjRAleuXOED18ePH+Pw4cPo1q1bqf06cOAA3N3d0bFjR0RERCjtl7p0PpA9duwYjh49ivj4eERFRaF9+/bw9PRESEhIZXeNEEIIIaRCGOiVvgFAjRo1ZJ4VCg0NVVhfamoqJBIJ7OzsZMrt7OyQlJSk8JzBgwdj3rx5aNWqFQwMDODu7o527dqpNLXg+vXruHTpEnx8fDBhwgTY29vjyy+/LPPaADofyKalpWHcuHHw9PTEsGHD0KpVKxw7dgwGBgaV3TVCCCGEEJ3y7NkzmWeFpk+fXm51R0dH4+eff8aqVatw9epV7N27F3///Tfmz5+v0vkBAQH47bff8OLFC2zYsAHPnz9Hy5YtUa9ePSxfvhxpaWlq90mn028BQFBQEIKCgiq7G4QQQgghlUakDwj1le/X+/99qj4fZGNjA319fSQnJ8uUJycnw97eXuE5M2fOxNChQzF69GgAgJ+fH7KysjB27FjMmDFD6YP4xTHGUFBQgPz8fDDGYGVlhRUrVmDmzJlYt24dBg4cqFI9QBUYkSWEEEIIIeXL0NAQDRs2xMmTJ/kyqVSKkydPonnz5grPyc7OlgtW9fULI2jGWKltXrlyBePHj4eDgwO+/fZbBAQEIDY2Fv/88w8ePnyIBQsW4JtvvlHrfej8iKyu4DhO41ReHMdVev1laUPb9avaBl0j3bhGAoEAt27dUrt+gYC+bgghRFMG3P/mwSoiVe0rXMakSZMwfPhwNGrUCE2aNEFYWBiysrL455CGDRsGJycnfp5tz549sXTpUgQEBKBp06aIi4vDzJkz0bNnTz6gVcbPzw/37t1Dly5dsGHDBoXnBAcHY8KECWq9B/rNoiIbG5sqXX9FtFHV66+INqp6/QDg5eWl9TYIIYRo38CBA/Hq1SvMmjULSUlJ8Pf3x9GjR/kHwJ4+fSozAvvjjz+C4zj8+OOPSExMRPXq1dGzZ08sWLCg1LaCgoIwcuRIODk5KT3GxsYGUql6CztQIEsIIYQQouOEAkBUUtSmYUQ3fvx4jB8/XuG+6Oho2SYEAsyePRuzZ89Wu52iubDF5eTkYPHixZg1a5badQI0R5YQQgghhGjZ3LlzkZmZKVeenZ2NuXPnalwvjcgSQnQWYwzS/AKF5YD8vF5l5QAgEYu10ENCCKkY7+eKVUSi40OTjDGF3803btyAtbW1xvVSIEsI0VnS/AJsX7EaBVL1l15U5E1eLiL+3CVXbmAkgr2DQ5nrF4lEZa6DEEI+JFZWVuA4DhzHoU6dOjLBrEQiQWZmJr744guN66dAlhCi0wqkErRxcNVqG5e5HAwePFirbRBCSFkY6TOI9JWnuOJK2FeZwsLCwBjDyJEjMXfuXFhYWPD7DA0N4erqqjTdlyookCWEEEIIIVoxfPhwAICbmxtatGhR7iuzUiBLCCGEEKLjhPqFq3spw0pO41op0tPT+VXGAgICkJOTg5ycHIXHqrIamSIUyBJCCCGEkHJnZWWFly9fwtbWFpaWlgof9ip6CEwi0exZCApkVZSamqrS8muKcBxXaqJ6bddflja0Xb+qbdA10o1rFBsbC7EGGQAEAgEtpkAIIRoqLWuBWAezFpw6dYrPSHD69GmttEGBrIoYY6hRo4ZG56qyZKi26y9LG9quX9U26BrpxjUSi8Xw8/NTu35NlrUlhBBSdbVt21bh/5cnCmQJIYQQQnRcaXNkpTo4R/bmzZsqH1uvXj2N2tAokD158iROnjyJlJQUuTVxN27cqFFHCCGEEELIh8Pf3x8cx5U65a1C58jOnTsX8+bNQ6NGjeDg4KBw4m55kUgkmDNnDrZv346kpCQ4OjpixIgR+PHHH7XaLiGEEEKILjHkAMOS5sjqYFgUHx+v9TbUDmTXrFmDzZs3Y+jQodroj4xFixZh9erV2LJlC3x8fHD58mWEhITAwsIC33zzjdbbJ4QQQgghmnFxcdF6G2o/45afn48WLVpooy9yzp07h969e6N79+5wdXVF//790aVLF1y8eLFC2ieEEEII0QVCfUCoz0rYKruHpdu2bRtatmwJR0dHJCQkAChc+evAgQMa16l2IDt69GhERERo3KA6WrRogZMnT+LBgwcAgBs3buDMmTPo2rWr0nPy8vKQnp4usxFCCCGEkMqzevVqTJo0Cd26dcO7d+/4ObGWlpYICwvTuF6VphZMmjSJ/3+pVIq1a9fixIkTqFevntxSY0uXLtW4M8VNmzYN6enp8PT0hL6+PiQSCRYsWIAhQ4YoPSc0NBRz584ttz4QQgghhFQ2gR6DQE/5Q1Ml7dMFv//+O9atW4c+ffpg4cKFfHmjRo3w3XffaVyvSoHstWvXZF77+/sDAG7fvq1xw6rYtWsXwsPDERERAR8fH1y/fh0TJ06Eo6Mjv3ZvcdOnT5cJvNPT0zXOq0kIIYQQQsouPj4eAQEBcuVCoRBZWVka16tSIKut1RhK8/3332PatGkYNGgQAMDPzw8JCQkIDQ1VGsgKhUIIhcKK7CYhhBBCiFYZ6ksh1Jcq3S8uYZ8ucHNzw/Xr1+UeADt69GiZVn1Ue47syJEjkZGRIVeelZWFkSNHatwRRbKzs6GnJ9tFfX19udy1hBBCCCFEd02aNAnjxo1DZGQkGGO4ePEiFixYgOnTp2PKlCka16t2+q0tW7Zg4cKFMDMzkynPycnB1q1by3VBhJ49e2LBggWoWbMmfHx8cO3aNSxdurTcA2ZCCCGEEF1WlJ1AGXEJ+3TB6NGjYWRkhB9//BHZ2dkYPHgwHB0dsXz5cv7OuyZUDmTT09PBGANjDBkZGRCJRPw+iUSCw4cPw9bWVuOOKPL7779j5syZ+Oqrr5CSkgJHR0d8/vnnmDVrVrm2QwghhBBCtGvIkCEYMmQIsrOzkZmZWS5xo8qBrKWlJTiOA8dxqFOnjtx+juPKPVuAmZkZwsLCypSWgRBCCCGkqjPQYzAoITNBSft0jbGxMYyNjculLpUD2dOnT4Mxhg4dOmDPnj2wtrbm9xkaGsLFxQWOjo7l0ildxHEcnj17pvG5lV1/WdrQdv2qtkHXSDeukUAgwK1bt9SuXyBQeyYTIYSQKiwgIEDl3y1Xr17VqA2Vf7O0bdsWQGH6hJo1a6rcsQ+FjY1Nla6/Itqo6vVXRBtVvX4AZXq6lBBCiGYMS5kjW6CDc2T79OnD/39ubi5WrVoFb29vNG/eHADw33//4c6dO/jqq680bkOlQPbmzZsyr0sajalXr57GnSGEEEIIIR+G2bNn8/8/evRofPPNN5g/f77cMZreSQRUDGT9/f3BcRwYY6WOxBYtOUYIIYQQQsqHAAwCroSVvaB7I7Lv2717Ny5fvixX/tlnn6FRo0YaZ71SKY9sfHw8Hj9+jPj4eOzZswdubm5YtWoVrl27hmvXrmHVqlVwd3fHnj17NOoEIYQowphufzETQghRjZGREc6ePStXfvbsWZlMWOpSaUT2/VUYBgwYgN9++w3dunXjy+rVq4caNWpg5syZMvMhCCGkTBjDu7wc7Iu/q9VmhGamWq2fEELKSljKyl4FOr6y18SJE/Hll1/i6tWraNKkCQDgwoUL2LhxI2bOnKlxvWo/Rnzr1i24ubnJlbu5ueHuXe3+siGEfFw4joOlgRBtq2k3I8olIxr5JYQQbZo2bRpq1aqF5cuXY/v27QAKHx7etGkTgoKCNK5X7SVqvby8EBoaivz8fL4sPz8foaGh9DQzIYQQQogWCP4/j6yyTaBhHtmVK1fC1dUVIpEITZs2xcWLF0s8/t27dxg3bhwcHBwgFApRp04dHD58WKW2goKCcPbsWbx58wZv3rzB2bNnyxTEAhqMyK5ZswY9e/aEs7Mzn6Hg5s2b4DgOhw4dKlNnCCGEEEJIxYiMjMSkSZOwZs0aNG3aFGFhYQgMDMT9+/cVrrqVn5+Pzp07w9bWFn/++SecnJyQkJAAS0vLiu/8/1M7kG3SpAkeP36M8PBw3Lt3DwAwcOBADB48GCYmJuXeQUIIIYSQj52wlDyy+RrkkV26dCnGjBmDkJAQAIWDlX///Tc2btyIadOmyR2/ceNGvHnzBufOnYOBgQEAwNXVVWn91tbWePDgAWxsbGBlZVVi5qs3b96o3X9Ag0AWAExMTDB27FiNGqyqUlNTNX6CmuO4UhPVa7v+srSh7fpVbYOukW5co9jYWIjFYrXrFwgENP2IEEK0LD09Xea1UCiEUCiUOy4/Px9XrlzB9OnT+TI9PT106tQJ58+fV1j3wYMH0bx5c4wbNw4HDhxA9erVMXjwYEydOhX6+vpyxy9btgxmZmYAgLCwsDK8K+VUCmQPHjyIrl27wsDAAAcPHizx2F69epVLx3QNYww1atTQ6FxVEv1qu/6ytKHt+lVtg66RblwjsVgMPz8/tevXZFlbQgghhfQ4fehx8sHi+/sByP0OmD17NubMmSN3fGpqKiQSCezs7GTK7ezs+DvuxT1+/BinTp3CkCFDcPjwYcTFxeGrr75CQUGBzOIHRYYPH45Zs2Zh2rRpGD58OADg7du3sLKyKvG9qkOlQLZPnz5ISkqCra1tiem1OI6jBREIIYQQQirJs2fPYG5uzr9WNBqrKalUCltbW6xduxb6+vpo2LAhEhMTsXjxYoWBLAAsWLAA48ePh7GxMYDClK7Xr19HrVq1yqVPKgWyUqlU4f8TQgghhBDt0+cMoM8ZlLC/cMqXubm5TCCrjI2NDfT19ZGcnCxTnpycDHt7e4XnODg4wMDAQGYagZeXF5KSkpCfnw9DQ0O5c4pPdyvvhW5UTr+1adMmJCQklGvjqnB1dQXHcXLbuHHjKrwvhBBCCCEfAkNDQzRs2BAnT57ky6RSKU6ePInmzZsrPKdly5aIi4uTGdR88OABHBwcFAaxFUHlQParr75CrVq1UKtWLYwaNQrbt29HYmKiNvsGALh06RJevnzJb1FRUQAKVxgjhBBCCPkY6HH60OcESreS5s8qM2nSJKxbtw5btmxBbGwsvvzyS2RlZfFZDIYNGybzMNiXX36JN2/eYMKECXjw4AH+/vtv/PzzzyUOLnIch4yMDKSnpyMtLQ0cxyEzMxPp6ekym6ZUzlrw7t07nDt3Dv/88w9Onz6NiIgI5Ofnw8PDA+3bt0f79u3Rrl07uUnDZVW9enWZ1wsXLoS7uzvatm1bru0QQgghhHxMBg4ciFevXmHWrFlISkqCv78/jh49ysdyT58+hZ7e/8Y8a9SogWPHjuHbb79FvXr14OTkhAkTJmDq1KlK22CMoU6dOjKvAwICZF6X5RkrlQNZoVDIB6xz5sxBbm4uzp8/j9OnTyM6OhpbtmxBQUGBRml5VJWfn4/t27dj0qRJSnOR5eXlIS8vj39dliifEEIIIUQXqJq1QF3jx4/H+PHjFe6Ljo6WK2vevDn+++8/les/ffq0Rv1SlUZ5ZIHCXGN6enr8nFXGGGrWrFmefZOzf/9+vHv3DiNGjFB6TGhoKObOnavVfhBCCCGEkNJp+w66ynNk8/PzERMTg3nz5qFdu3awsLDA559/jpcvX2LMmDF4+PAhHj9+rM2+YsOGDejatSscHR2VHjN9+nSkpaXxm6q5MQkhhBBCdFVR1oKSto+RyiOyFhYWsLW1Rc+ePTFu3Djs3LlTaXoGbUhISMCJEyewd+/eEo9TtoIFIYQQQgj5sKgcyNavXx/Xrl1DTEwMP62gXbt2qFatmjb7x9u0aRNsbW3RvXv3CmmPEEIIIURXaGuObFWn8tSC//77D69fv8Yvv/wCIyMj/PLLL3BwcICvry/Gjx+P3bt3IyUlRSudlEql2LRpE4YPHw6BQONpvYQQQggh5AOiciALAKampvjkk0+waNEiXLhwgQ9sDQwMMGbMmBLnrpbFiRMn8PTpU4wcOVIr9RNCCCGE6LKqPkd25MiRyMjIkCvPysoqU3ynViBbRCqV4sKFC1i1ahV+++03rF+/Hunp6ahRo4bGHSlJly5d5PKQEUIIIYSQqmHLli3IycmRK8/JycHWrVs1rlfl+/QXL15EdHQ0oqOjcebMGWRmZsLZ2Rnt2rXDb7/9hvbt28PV1VXjjhBCCCGEEMX0OL1S5shqNDapdenp6WCMgTGGjIwMiEQifp9EIsHhw4dha2urcf0qB7LNmjWDvb092rdvj6VLl6J9+/Zwd3fXuOGqhuM4jVN5KVu8oSLrL0sb2q5f1TboGunGNRIIBLh165ba9dP8dkII+fhYWlryaw4ourPOcVyZ8v+r/JslNjYWdevW1bihqs7GxqZK118RbVT1+iuijapePwB4eXlpvQ1CCCGy9DkB9DnlYVtJ+yrT6dOnwRhDhw4dsGfPHlhbW/P7DA0N4eLiUqZnrFR+1x9zEEsIIYQQQtRXtLJXfHw8atasqfLdP1XpZvhOCCGEEEJ4VTGP7M2bN2VelzQtrV69ehq1QYEsIaTcMcaAnEzF5ZCfj6usXJqbp6UeEkII0TZ/f39wHMd/xyvDcRwkEolGbVAgSwgpfzmZ+HPhD8grhxGCNM4E+5+/kyvXN7WEvYODbCEDoOyuVQn7REZGZeghIYRUAIm4cCtpv46Jj4/XehtqB7Lz5s3Dd999B2NjY5nynJwcLF68GLNmzSq3zhFCqq48Th+fih9orf799sEIHjJEa/UTQggpGxcXF623oXYgO3fuXHzxxRdygWx2djbmzp1LgSwhhBBCSHkTFwDi/JL367DSFj0YNmyYRvWqHcgyxhQ+cXbjxg2ZlAqEEEIIIYQAwIQJE2ReFxQUIDs7G4aGhjA2NtZ+IGtlZSWT0Pb9YFYikSAzMxNffPGFRp0ghBBCCCElkIoLt5L267C3b9/KlT18+BBffvklvv/+e43rVTmQDQsLA2MMI0eOxNy5c2FhYcHvMzQ0hKurK5o3b65xR3RdampqqU/dKcNxXKmJ6rVdf1na0Hb9qrZB10g3rtHt27dRUFDyLSy9/GyN+qCOjIwMuVQuAoGAFmwghJAqonbt2li4cCE+++wz3Lt3T6M6VA5khw8fDgBwc3NDixYtYGBgoFGDVRVjDDVq1NDoXFWWDNV2/WVpQ9v1q9oGXSPduEYFBQWwt7cv8RguNxPqL2KrHjMzM/j5+cmUabJ0LiGEVAnifEBcQthW0vxZHSYQCPDixQvNz1floPT0dJibmwMAAgICkJOTg5ycHIXHFh1HCCGEEEIIABw8eFDmNWMML1++xIoVK9CyZUuN61UpkLWyssLLly9ha2sLS0tLhQ97FT0EpmlCW0IIIYQQokQVnyPbp08fmdccx6F69ero0KEDlixZonG9KgWyp06d4jMSnD59WuPGNJGYmIipU6fiyJEjyM7OhoeHBzZt2oRGjRpVaD8IIYQQQohmpFKpVupVKZBt27atwv/Xtrdv36Jly5Zo3749jhw5gurVq+Phw4ewsrKqsD4QQgghhFQ2JskHEytfLZFJqtYcWYlEglu3bsHFxaVMcZ3aeWRjYmJK3N+mTRuNO1PcokWLUKNGDWzatIkvc3NzK7f6CSGEEEKI9k2cOBF+fn4YNWoUJBIJ2rRpg/Pnz8PY2Bh//fUX2rVrp1G9ageyihoqnlO2vBw8eBCBgYEYMGAA/vnnHzg5OeGrr77CmDFjlJ6Tl5eHvLw8/nV6enq59YcQQgghpFJU8Tmyf/75Jz777DMAwKFDh/DkyRPcu3cP27Ztw4wZM3D27FmN6tVT94S3b9/KbCkpKTh69CgaN26M48ePa9QJZR4/fozVq1ejdu3aOHbsGL788kt888032LJli9JzQkNDYWFhwW+apiIihBBCCCHlIzU1lU/dePjwYQwYMAB16tTByJEjy5Q6Ue0R2fcXQijSuXNnGBoaYtKkSbhy5YrGnSlOKpWiUaNG+PnnnwEUpv66ffs21qxZw+e1LW769OmYNGkS/zo9PZ2CWUIIIYRUbeJ8oIQ5srqeR9bOzg53796Fg4MDjh49itWrVwMAsrOzoa9fwvsqhdqBbEkdvH//fnlVBwBwcHCAt7e3TJmXlxf27Nmj9ByhUAihUFiu/SCEEEIIIZoLCQlBUFAQHBwcwHEcOnXqBAC4cOECPD09Na5X7akFN2/elNlu3LiBo0eP4osvvoC/v7/GHVGkZcuWcsHxgwcP4OLiUq7tEEIIIYToNHHB/4/KKttKXjpcmZUrV8LV1RUikQhNmzbFxYsXVTpv586d4DhOLj+sMnPmzMH69esxduxYnD17lh901NfXx7Rp0zTqO6DBiKy/vz84jpNbz71Zs2bYuHGjxh1R5Ntvv0WLFi3w888/IygoCBcvXsTatWuxdu3acm2HEEIIIeRjExkZiUmTJmHNmjVo2rQpwsLCEBgYiPv378PW1lbpeU+ePMF3332H1q1bq9Ve//79AQC5ubl8mbKpoqpSe0Q2Pj4ejx8/Rnx8POLj45GQkIDs7GycO3euTEPDijRu3Bj79u3Djh074Ovri/nz5yMsLAxDhgwp13YIIYQQQnRaUdaCkjY1LV26FGPGjEFISAi8vb2xZs0aGBsblzgwKZFIMGTIEMydOxe1atVSuS2JRIL58+fDyckJpqamePz4MQBg5syZ2LBhg9p9L6J2IOvi4iKz1ahRAyKRSOMOlKZHjx64desWcnNzERsbW2LqLUIIIYSQj1l6errM9n5K0vfl5+fjypUr/FxVANDT00OnTp1w/vx5pfXPmzcPtra2GDVqlFr9WrBgATZv3oxffvkFhoaGfLmvry/Wr1+vVl3vU3tqwTfffAMPDw988803MuUrVqxAXFwcwsLCNO6MLuM4Ds+ePdP43MquvyxtaLt+Vduga6Qb18jAwABJSUklHqOXn61RH9SRkZEhl7JFICi351cJIUS3FBQA+SU83V9QOEe2eKam2bNnY86cOXKHp6amQiKRwM7OTqbczs4O9+7dU9jEmTNnsGHDBly/fl2trgPA1q1bsXbtWnTs2BFffPEFX16/fn2l7alC7W/9PXv24ODBg3LlLVq0wMKFCz/YQNbGxqZK118RbVT1+iuijapeP1D413NpWHYGbh3erdV+mJmZwc/PT6ttEEJIVfPs2TOYm5vzr8srk1NGRgaGDh2KdevWafS7JjExER4eHnLlUqkUBQWaPagGaBDIvn79WmEuWXNzc6SmpmrcEUIIIYQQooRYUriVtB+F8dj7gawyNjY20NfXR3Jyskx5cnIyv3DB+x49eoQnT56gZ8+efJlUKgVQeDfs/v37cHd3V9qet7c3/v33X7nMU3/++ScCAgJK7a8yageyHh4eOHr0KMaPHy9TfuTIEbUm/RJCCCGEkMphaGiIhg0b4uTJk3wKLalUipMnT8rFeADg6ekpN53rxx9/REZGBpYvX17q4lOzZs3C8OHDkZiYCKlUir179+L+/fvYunUr/vrrL43fh9qB7KRJkzB+/Hi8evUKHTp0AACcPHkSS5Ys+WCnFRBCFGOMAWL5+bDSgqxK6A0hhHzA8sVAfgm34PPVz1owadIkDB8+HI0aNUKTJk0QFhaGrKwshISEAACGDRsGJycnhIaGQiQSyU0ts7S0BKDalLPevXvj0KFDmDdvHkxMTDBr1iw0aNAAhw4dQufOndXuexG1A9mRI0ciLy8PCxYswPz58wEArq6uWL16NYYNG6ZxRwghVZA4G/vWL0CuuPiDYgwpInOsZI2KFxeSP1xpuZ7IHA7FHkYAAKGxiWZ9JoQQAgAYOHAgXr16hVmzZiEpKQn+/v44evQo/wDY06dPoaendoIrpVq3bo2oqCi58suXL6NRo0YKziidWoGsWCxGREQE+vXrhy+//BKvXr2CkZERTE1NNWqcEFL15Yo5DPLJ0Fr9kUl1EDz4M63VTwghVYKKc2TVNX78eIVTCQAgOjq6xHM3b96scjuZmZnQ19eHkZERX3b9+nXMnDkThw8fhkSiWf/VCrMFAgG++OILfkWG6tWrUxBLCCGEEEIUevbsGZo3bw4LCwtYWFhg0qRJyM7OxrBhw9C0aVOYmJjg3LlzGtev9tSCJk2a4Nq1a3JPnRFCCCGEEO1g4gKwAuXjj0yseQorbfr++++Rm5uL5cuXY+/evVi+fDn+/fdfNG3aFI8ePYKzs3OZ6lc7kP3qq68wefJkPH/+HA0bNoSJiew8tXr16pWpQ4QQQggh5MMQExODvXv3olmzZggKCoK9vT2GDBmCiRMnlkv9ageygwYNAgCZlb04jgNjDBzHaTzHQdelpqYWPqGtAY7jSk0erO36y9KGtutXtQ26RrpxjW7fvs0nr9aXKl76sDwpWsFLGYFAAC8vLy33iBBCKoFYDIhLWNlLrH7WgoqQnJwMNzc3AICtrS2MjY3RtWvXcqtf7UA2Pj6+3BqvShhjpeZIU0aVJUO1XX9Z2tB2/aq2QddIN65RQUEBnyybk+Ro1JY61FnBS9WAlxBCSMV5P/OBnp4eDA0Ny61utQNZmhtLCCGEEFLB8sWAQQnP6GuQR7YiMMZQp04dcFxhfsXMzEwEBATIpfV68+aNRvWrFMgePHgQXbt2hYGBAQ4ePFjisb169dKoI4QQQggh5MOyadMmrdavUiDbp08fJCUlwdbWll/GTBFtzJGdM2cO5s6dK1NWt25d3Lt3r1zbIYQQQgjRWfkFgEHxVWOK7ddBw4cP12r9KgWyUqlU4f9XFB8fH5w4cYJ/LRCoPSOCEEIIIYR8YKpERCgQCPiHSwghhBBCPjqSUlb2+kCzRpVG5ZW9Tp06BW9vb6Snp8vtS0tLg4+PD2JiYsq1c0UePnwIR0dH1KpVC0OGDMHTp0+VHpuXl4f09HSZjRBCCCGEfHhUDmTDwsIwZswYmJuby+2zsLDA559/jmXLlpVr5wCgadOm2Lx5M44ePYrVq1cjPj4erVu3RkaG4rXdQ0ND+WXQLCwsNE5FRAghhBCiM/ILSt8+QioHsjdu3MAnn3yidH+XLl1w5cqVcunU+7p27YoBAwagXr16CAwMxOHDh/Hu3Tvs2rVL4fHTp09HWloav6maG5MQQgghhFQtKs+RTU5OhoGBgfKKBAK8evWqXDpVEktLS9SpUwdxcXEK9wuFQgiFQq33gxBCCCGkorACKViB8gfuS9qnCyZNmqSwnOM4iEQieHh4oHfv3rC2tlarXpUDWScnJ9y+fRseHh4K99+8eRMODg5qNa6JzMxMPHr0CEOHDtV6W4QQQgghpOyuXbuGq1evQiKRoG7dugCABw8eQF9fH56enli1ahUmT56MM2fOwNvbW+V6VZ5a0K1bN8ycORO5ubly+3JycjB79mz06NFD5YZV9d133+Gff/7BkydPcO7cOfTt2xf6+voIDg4u97YIIYQQQnQRy5OC5UqUb3m6PSLbu3dvdOrUCS9evMCVK1dw5coVPH/+HJ07d0ZwcDASExPRpk0bfPvtt2rVq/KI7I8//oi9e/eiTp06GD9+PB9N37t3DytXroREIsGMGTPUe1cqeP78OYKDg/H69WtUr14drVq1wn///Yfq1auXe1uEEEIIIaT8LV68GFFRUTJJAywsLDBnzhx06dIFEyZMwKxZs9ClSxe16lU5kLWzs8O5c+fw5ZdfYvr06WCMASic2xAYGIiVK1fCzs5OrcZVsXPnznKvkxBCCCGkKmEFEjCB8hvprEC388impaUhJSVFbtrAq1ev+FSplpaWyM/PV6tetRZEcHFxweHDh/H27VvExcWBMYbatWvDyspKrUYJIYQQQsjHo3fv3hg5ciSWLFmCxo0bAwAuXbqE7777Dn369AEAXLx4EXXq1FGrXo1W9rKysuI78bHgOE7jVF4cV8LayBVUf1na0Hb9qrZB10g3rpGBgQGSkpIAAPrSPI3aUkdGRgZu3bql0rG0fDUh5EPFciVgXAkjsrm6PSL7xx9/4Ntvv8WgQYMgFosBFH5nDx8+nF+HwNPTE+vXr1erXvrWV5GNjU2Vrr8i2qjq9VdEG1W9fgDw9fXl/58VZOH2uUNabc/MzAx+fn5abYMQQoh2mZqaYt26dVi2bBkeP34MAKhVqxZMTU35Y/z9/dWulwJZQgghhBBdJ5YABSUkmxLr9ojs9u3b0a9fP5iamqJevXrlVq/K6bcIIYQQQgjRxLfffgtbW1sMHjwYhw8fhkRSPoE3BbKEEBUw6KEAYHlg0vc2ifbnyBJCCEHJOWT/f9NlL1++xM6dO8FxHIKCguDg4IBx48bh3LlzZaqXphYQQkqlBzGuXDiIvGIJtxmApDwRll4Wlb0NgREc7O3lyoUi4zLXTQghpHIJBAL06NEDPXr0QHZ2Nvbt24eIiAi0b98ezs7OePTokWb1lnM/CSEfqLw8KQb1sNVa/TuPGSB48BCt1U8IIVWZNF8MaQnZZaT54grsTdkYGxsjMDAQb9++RUJCAmJjYzWui6YWEEIIIYQQrcvOzkZ4eDi6desGJycnhIWFoW/fvrhz547GddKILCGEEEKIriuQAnrSkvfrsEGDBuGvv/6CsbExgoKCMHPmTDRv3rzM9VIgSwghhBBCtEpfXx+7du1CYGAg9PX1Zfbdvn1bJke5OiiQVVFqaioYYxqdy3FcqYnqtV1/WdrQdv2qtkHXSDeukbbFxsbyq76oSyAQwMvLq5x7RAghlY/lSsCY8jmyLE+zrAUrV67E4sWLkZSUhPr16+P3339HkyZNFB67bt06bN26Fbdv3wYANGzYED///LPS498XHh4u8zojIwM7duzA+vXrceXKFY3TcVEgqyLGGGrUqKHRuaosGart+svShrbrV7UNuka6cY20TSwWa7ySl6pL2RJCCAEiIyMxadIkrFmzBk2bNkVYWBgCAwNx//592NrKP9wbHR2N4OBgtGjRAiKRCIsWLUKXLl1w584dODk5qdRmTEwMNmzYgD179sDR0RH9+vXDypUrNX4P9LAXIYQQQoiOY2IpWEEJm1j9ObJLly7FmDFjEBISAm9vb6xZswbGxsbYuHGjwuPDw8Px1Vdfwd/fH56enli/fj2kUilOnjxZYjtJSUlYuHAhateujQEDBsDc3Bx5eXnYv38/Fi5ciMaNG6vd9yIUyBJCCCGEfCDS09Nltrw8xQvX5Ofn48qVK+jUqRNfpqenh06dOuH8+fMqtZWdnY2CggJYW1srPaZnz56oW7cubt68ibCwMLx48QK///67em+qBFUqkF24cCE4jsPEiRMruyuEEEIIIRVGnM+VugFAjRo1YGFhwW+hoaEK60tNTYVEIoGdnZ1MuZ2dHZKSklTq09SpU+Ho6CgTDBd35MgRjBo1CnPnzkX37t3lHvQqqyozR/bSpUv4448/UK9evcruCiGEEEKITnr27BnMzc3510KhUCvtLFy4EDt37kR0dDREIuWrO545cwYbNmxAw4YN4eXlhaFDh2LQoEHl1o8qMSKbmZmJIUOGYN26dbCysqrs7hBCCCGEVCiphCt1AwBzc3OZTVkga2NjA319fSQnJ8uUJycnw17BcuHv+/XXX7Fw4UIcP3681AHGZs2aYd26dXj58iU+//xz7Ny5E46OjpBKpYiKikJGRoYaV0FelQhkx40bh+7du5c4dF0kLy9Pbn4IIYQQQgj5H0NDQzRs2FDmQa2iB7dKWqjgl19+wfz583H06FE0atRI5fZMTEwwcuRInDlzBrdu3cLkyZOxcOFC2NraolevXhq/D50PZHfu3ImrV68qneNRXGhoqMzcEE1TERFCCCGE6ApJvh7EJWySfPVDukmTJmHdunXYsmULYmNj8eWXXyIrKwshISEAgGHDhmH69On88YsWLcLMmTOxceNGuLq6IikpCUlJScjMzFSr3bp16+KXX37B8+fPsWPHDrX7/T6dniP77NkzTJgwAVFRUSXOv3jf9OnTMWnSJP51eno6BbOEEEIIIcUMHDgQr169wqxZs5CUlAR/f38cPXqUfwDs6dOn0NP7X4C8evVq5Ofno3///jL1zJ49G3PmzFG7fX19ffTp0wd9+vTR+D3odCB75coVpKSkoEGDBnyZRCJBTEwMVqxYgby8PLmn34RCodYmNhNCCCGEVAaJmIOEU76yl0SsfF9Jxo8fj/HjxyvcFx0dLfP6yZMnGrWhTTodyHbs2FFupZ6QkBB4enpi6tSp5Z7CgRBCCCGEVB06HciamZnB19dXpszExATVqlWTKyeEEEII+VBJReaQGhoo369fUIG90R06HcgSQgghhBBAIjSDxNBQ+X4uvwJ7ozuqXCBbfL4GIYQQQgj5OFW5QLaycByHZ8+eaXxuZddflja0Xb+qbdA10o1rpG0CgUBubrw65xJCyIdIKjKFtISH2aV6eRXYG91B3/oqsrGxqdL1V0QbVb3+imijqtdfEby8vCq7C4QQQqoICmQJIYQQQnQcE5mClTAiyzjlD4J9yHR+ZS9CCCGEEEIUoRFZQgghhBAdx0QmYCWscsq4jzOk+zjfNSFELVIIINazQ8RRPehx2rmRIxQZaaVeQgghHy4KZAkhKuDQqlUbODo60hLQhBBSCaQiI0hL+INfCt3IPFPRaI4sIYQQQgipkmhElhBCCCFExzGREZiR8hFZVoF90SU0IksIIYQQQqokGpFVUWpqKhjT7O8djuNKTVSv7frL0oa261e1DbpGunGNbt++jYKCArXrNzAwgK+vr9bqV7WN2NhYiMVijeoXCAS0YAMhpHIIhWBC5VkLIJVWXF90CAWyKmKMoUaNGhqdq8qSodquvyxtaLt+Vduga6Qb16igoAD29vZq15+UlKTV+lVtQywWw8/PT6P6NV06lxBCiHZQIEsIIYQQouOYSFRyHln2cY7I0hxZQgghhBBSJel8ILt69WrUq1cP5ubmMDc3R/PmzXHkyJHK7hYhhBBCSIXhjIzAGZewlZDR4EOm84Gss7MzFi5ciCtXruDy5cvo0KEDevfujTt37lR21wghhBBCSCXS+TmyPXv2lHm9YMECrF69Gv/99x98fHwqqVeEEEIIIRXISATOuIRR1490jqzOB7Lvk0gk2L17N7KystC8eXOFx+Tl5SEvL49/nZ6eXlHdI4QQQgghFahKBLK3bt1C8+bNkZubC1NTU+zbtw/e3t4Kjw0NDcXcuXMruIeEEEIIIdqjZ2IEPRPlI7J6+DhHZHV+jiwA1K1bF9evX8eFCxfw5ZdfYvjw4bh7967CY6dPn460tDR+UzU3JiGEEEIIqVqqxIisoaEhPDw8AAANGzbEpUuXsHz5cvzxxx9yxwqFQgiFworuIiGEEEKI1ugZiaBXwhxZPamkAnujO6rEiGxxUqlUZh4sIYQQQgj5+Oj8iOz06dPRtWtX1KxZExkZGYiIiEB0dDSOHTtW2V0jhBBCCKkQ+iZG0C9hjqw++zhHZHU+kE1JScGwYcPw8uVLWFhYoF69ejh27Bg6d+5c2V0jhBBCCCGVSOenFmzYsAFPnjxBXl4eUlJScOLECQpiCSGEEPJRERiLIDAxUr4ZizSqd+XKlXB1dYVIJELTpk1x8eLFEo/fvXs3PD09IRKJ4Ofnh8OHD2vUbnnR+UCWEEIIIYSUv8jISEyaNAmzZ8/G1atXUb9+fQQGBiIlJUXh8efOnUNwcDBGjRqFa9euoU+fPujTpw9u375dwT3/H44xxiqt9QqQnp4OCwsLpKWlwdzcvNTj8/Ly8OLFC7ny1NRUaHqpOI6DjY1Nicdou/6ytKHt+lVtg65R5V8jR0dHPHz4EAUFBWrXb2BgAF9f31KPu337tkb1q9pGbGwsxGKxRvULBAJ4eXlpdC4h5MOhbmxRHm09fvwYZmZmSo/LyMhArVq11OpT06ZN0bhxY6xYsQJA4cP0NWrUwNdff41p06bJHT9w4MD/a+++w6K4uj+Af4cqIF3p2DUKIjZUbBiCoKImsWGLXV8jUVHRoGIsMaKxR03UJLaIoiZKqsbyKtZYolhQEQJ2utIFtpzfH/x2XlZQdoEV1pzP8+SJzMyee3d2dvbMnXvvIC8vD7/99pu4rFOnTmjdujU2b96s5jurGjW+j2xNoUqSUpPjv4kytD3+myhD2+MDUCkZrcnxORFljGmjnJwclda//ETTV01LWlRUhL///htz584Vl+no6MDHxwcXLlwos4wLFy5g5syZSsv8/PwQGRmpylvQCE5kGWOMMcZqKAMDA9jZ2cHd3b3cbWvXrg1nZ2elZQsXLsSiRYtKbZueng6ZTAZbW1ul5ba2trh7926Z8ZOTk8vcPjk5udy6aQonsowxxhhjNVStWrWQmJiIoqKicrclIgiCoLTsbX9IFCeyjDHGGGM1WK1atVCrVsVmJXiVOnXqQFdXFykpKUrLU1JSYGdnV+Zr7Ozs1Nr+TeBZCxhjjDHG/mUMDAzQrl07nDhxQlwml8tx4sQJeHp6lvkaT09Ppe0B4NixY6/c/k3gFlnGGGOMsX+hmTNnYvTo0Wjfvj06dOiAdevWIS8vD2PHjgUAjBo1Co6OjggLCwMATJ8+HV5eXli9ejX8/f0RERGBK1euYOvWrdX2HjiRZYwxxhj7FwoICEBaWho+++wzJCcno3Xr1jhy5Ig4oOvhw4fQ0fnfzfvOnTtjz549CA0Nxbx589C0aVNERkZqfLaZ1+F5ZF/yqnlkGWPF88i+7QMHGGOsPG9yHln2etxHljHGGGOMaSXuWqAibX8iU2XK+Lc8taoyZfyb9lFFn7xVU57spen4QMWfHsZPDmOMMfVwIqsiIio1ybCqHj16VO3xK1OGpuOrWgbvo5qxjyQSSYWmWlF1wuyKxle1DE3HBwCpVAo3Nze149+8eVPt1zDG2L8Zdy1gjDHGGGNaiRNZxhhjjDGmlWp8IhsWFgYPDw+YmprCxsYGH3zwAWJjY6u7WowxxhhjrJrV+D6yUVFRCAwMhIeHB6RSKebNmwdfX1/cvn0bJiYm1V09xhhjb7msrCzk5+dXdzX+FYyNjWFubl7d1WBapMYnskeOHFH6e8eOHbCxscHff/+N7t27V1OtGGOM/RtkZWVh06ZNFZ7pgqlHX18fgYGBnMwyldX4RPZlWVlZAAArK6sy1xcWFqKwsFD8Ozs7+43UizHG2NsnPz8fEokE7777LiwtLau7Om+158+f4+TJk8jPz+dElqlMqxJZuVyOoKAgdOnS5ZVzOYaFhWHx4sVvuGaMMcbeZpaWlirNs8wYe7Nq/GCvkgIDA3Hr1i1ERES8cpu5c+ciKytL/E/VuTEZY4wxxph20ZoW2U8++QS//fYbTp8+DScnp1duZ2hoyM+CZ4wxxhj7F6jxiSwRYerUqTh06BBOnTqFhg0bVneVGGOMMcZYDVDjE9nAwEDs2bMHP//8M0xNTcVHRJqbm8PIyKiaa8cYY4wxxqpLjU9kv/nmGwBAjx49lJZv374dY8aMefMVYowxxl7y4MED/Pjjj7hx4ways7NhZmaGVq1aYfDgwahXrx4A4PPPP0d0dDR++OEHGBsblxln1apVOHfuHHbu3AkzM7MK1SUtLQ3Hjx/H5cuX8fTpU+jo6KB+/foICAhA69atS22fm5uLHTt24MKFCygsLESzZs0wbtw4NGnS5JVlJCUlITAwEBKJBGvWrEHTpk2V1sfHxyM8PBzx8fEoKCiAnZ0devbsCX9/f+jq6lbofTFWlho/2IuIyvyPk1jGGGM1wfnz5xEUFITr16/Dx8cHH3/8MXr27IkbN24gKCgIf/31F4DiBpmioiLx75cVFBTg4sWLaNu2bYWTWAC4ePEifvzxR9jb2+Ojjz7C0KFD8eLFCyxYsADHjx9X2lYul2PJkiWIiopC3759MXbsWGRmZmLevHl4+vTpK8v47rvvXpmQxsfHY/bs2UhNTcXAgQMxbtw42Nra4ttvv8X3339f4ffFWFlqfItsTSEIQoVnQBAEodrjV6YMTcdXtQzeRzVjH+nr64tdfNShr6+v0fiqlqHp+ACgp6eHmzdvqh1fT49PydomKSkJa9asgZ2dHZYvX640/2m/fv0QEhKCNWvW4KuvvkKHDh1gZGSEqKgoeHt7l4p18eJFFBQUlLoDqS43Nzds27ZNqS69e/fGtGnTEB4eDh8fH3H5uXPncOfOHYSEhKBLly4AgK5du+I///kPwsPDMXv27FLxr169iqtXr2LgwIHYt29fqfWKBxktX74cpqamYvkhISE4ceIEJk2aVKn3x1hJfNZUkabnD3wT8xNq+3vgfVT98QG8cg5njv8/LVq00HgZrGY4ePAgCgsL8cknn5SaxN/c3ByBgYGYO3cuDh48iClTpsDT0xNRUVHIzMyEhYWF0vZRUVEwMjJChw4dKlWn+vXrl1qmr6+P9u3bIzIyEvn5+WLXhnPnzsHCwgKenp5K9e7atStOnToFiUSidAEnlUqxdetW9O/fH3Z2dmWWn5+fDwMDg1KPkbeyssKTJ08q9d4Ye1mN71rAGGOM1VSXLl2CjY0NXF1dy1zfsmVL2NjY4PLlywCKuxfIZDKcPXtWabucnBxcu3YNnp6eSlNI5ubmKs2N/qr/CgoKyq3r8+fPS01RmZCQgMaNG0NHRzkdaNasGQoLC0slnr/88gvy8vIQEBDwynLc3NyQn5+PTZs24dGjR0hNTcXhw4dx4cIFDB48uNx6MqYObpFljDHGKiAvLw/Pnj1Dx44dX7tdw4YNcfHiReTn56NVq1awsrIS+6QqnD17FlKpFF5eXkqvnT59OlJTU8uty7BhwzB8+PBXrn/69CkuXLiALl26KPVtff78eZl3KRSPgX/27BkaNGggbhsREYFx48a9crAaAPj6+uLhw4c4cuQIjh49CgDQ0dHB5MmT0bt373LfC2Pq4ESWMcYYq4AXL14AQLlTQSrWv3jxAsbGxujWrRt+/vlnpKSkwNbWFkBxtwILCwu4u7srvXbWrFkoKioqty6vus0PFA8iW7FiBQwMDDB69GildUVFRWX2zVZ0JygsLBSX7dixA3Z2dvD19X1tXXR1dWFnZ4c2bdqga9eu0NfXx+nTp7Fly5ZS3RgYqyxOZBljjLEKKJmgvs6LFy8gCII4E0GPHj3w888/IyoqCkOGDEF6ejpu376Nfv36lZoJwMXFpVJ1lMlkWLlyJR4+fIhFixbB2tpaab2BgQGkUmmp10kkEgAQuyHcvXsXJ0+exNKlS0t1Q3jZgQMH8Ouvv2LLli3iPurWrRvmzZuHzZs3o0OHDjwFF6sy3EeWMcYYqwATExNYWVnh/v37r90uMTER1tbWYitnkyZN4OTkhNOnTwMATp8+DSIq1a0AALKysvD8+fNy/3tVMr1x40ZcvnwZQUFBpVp7AcDS0hLPnj0rtVyxTNHFYMeOHXBxcYGtrS1SUlKQkpKC7OxsAMVdDkp2f/jjjz/QqlWrUi3VHTp0wLNnz5CSkvLa/cWYOrhFljHGGKugDh064MiRI4iJiSlzwFdMTAxSU1PxwQcfKC3v0aMHdu/ejcTERERFRcHBwQHNmjUr9fqZM2dWuI/stm3bcPz4cUycOLHMJBkAGjVqhJiYGMjlcqWW1nv37sHQ0BCOjo4Aih+ykJqaigkTJpSK8fnnn8PExAQREREAgMzMTMjl8lLbyWQypf8zVhU4kWWMMcYq6MMPP8TJkyexadMmLF++XOlBBjk5Odi0aROMjY3h7++v9DovLy/s3r0b4eHhSEhIeOVArYr2kT148CAOHTqEwYMHo3///q98XZcuXXDu3DlxIBhQ3Ap89uxZdOjQQWxFDgwMVOovCwA3btzAb7/9hnHjxsHJyUlc7ujoiOjoaPEJZwDEmRqMjIxgb29f7vthTFWcyDLGGGMV5ODggBkzZmDVqlWYOnUqevbsKd5+P3bsGHJzczFnzpxSiaadnR1atGiBixcvAsArW0wr0kf2woUL2L59OxwcHODs7IyTJ08qrW/dujUsLS0BAJ07d8Y777yD9evX4+HDhzAzM8Mff/wBuVyulFy3bdu2VDl5eXkAiqcYK/mI2kGDBmH16tUIDg6Gn58fDAwMcPr0acTHx2PkyJH84A9WpfhoYowxxiqhS5cucHJywoEDB3D06FFkZWVBLpfDwMAAa9euRb169cp8nZeXF+7cuYNmzZrBwcGhyuqTmJgIoHjKrTVr1pRav2zZMjGR1dXVxaJFi7Bt2zb8+uuvKCoqQtOmTREUFKTUyqqOHj16wMzMDAcOHMDBgweRn58PJycnTJkyhaffYlVOICKq7kpoUnZ2NszNzZGVlaXSs6sLCwvLfL50eno6KrqrBEEo94lLmo5fmTI0HV/VMngfVf8+cnBwQFxcnDiiWR36+voqPVXr1q1bFYqvahmajl+ZMlSNf+fOnTJHmqtCT0+PnzymhqSkJGzduhUDBgxQ68l5//3vf7Fu3Tr06NEDM2fO1GAN3x7p6ek4ePAgJk2aVOO7H6ibWzDN4RZZFRERnJ2dK/TaR48eVXv8ypSh6fiqlsH7qGbsI4lE8to5K18lOTlZo/FVLUPT8StThqrxpVIp3Nzc1I4PADdv3qzQ65h6vL298ezZM+zcuRN16tTBqFGjqrtKjL2VOJFljDHGNGDQoEEYNGhQdVeDsbdajZ9H9vTp0+jXrx8cHBwgCAIiIyOru0qMMcYYY6wGqPGJbF5eHtzd3bFp06bqrgpjjDHGGKtBanzXgt69e/MoR8YYY4wxVkqNT2TVVVhYqDRps+IReowxxhhj7O3y1iWyYWFhWLx4cXVXgzHG2Fvk+fPn1V2Ftx7vY1YRb10iO3fuXKU5+7Kzsys8HRFjjLF/N2NjY+jr65d6OhbTDH19fRgbG1d3NZgWeesSWUNDQxgaGlZ3NRhjjL0FzM3NERgYiPz8/Oquyr+CsbExzM3Nq7saTIu8dYksY4wxVpXMzc05uWKshqrxiWxubi7i4+PFvxMTExEdHQ0rK6tXPr+aMcYYY4y9/Wp8InvlyhW8++674t+K/q+jR4/Gjh07qqlWjDHGGGOsutX4RLZHjx4gouquBmOMMcYYq2Fq/JO9GGOMMcYYK0uNb5GtKQRBwKNHjyr82uqOX5kyNB1f1TJ4H9WMfaSvr4/k5GS14+vr62s0vqplaDp+ZcpQNb6enh5u3rypdnzFaxlj7G0h0Ft+3z47Oxvm5ubIysqCmZlZudsXFhbi6dOnb6BmjGkfBwcHnt6OMfavp25uwTSHuxYwxhhjjDGtxIksY4wxxhjTSpzIMsYYY4wxrcSJ7Et0dXVVHvTC2L+JIAjQ1dWt7mowxhhjIh6++hI9PT04OTlBJpNVd1UYq1F0dXV5xDtjjLEahX+VyqCnp8c/2IwxxhhjNRx3LWCMMcYYY1qJE1nGGGOMMaaVOJFljDHGGGNaiRNZxhhjjDGmlTiRZYwxxhhjWokTWcYYY4wxppU4kWWMMcYYY1qJE1nGGGOMMaaVOJFljDHGGGNa6a1/fBURAQCys7OruSaMMcYYexsocgpFjsGqz1ufyObk5AAAnJ2dq7kmjDHGGHub5OTkwNzcvLqr8a8m0Ft+OSGXy/H06VOYmppCEIQqj5+dnQ1nZ2c8evQIZmZmVR7/TZSh7fHfRBnaHv9NlKHt8d9EGdoe/02Uoe3x30QZ2h7/TZSh6fhEhJycHDg4OEBHh3tpVqe3vkVWR0cHTk5OGi/HzMxMY1/4N1WGtsd/E2Voe/w3UYa2x38TZWh7/DdRhrbHfxNlaHv8N1GGJuNzS2zNwJcRjDHGGGNMK3EiyxhjjDHGtBInspVkaGiIhQsXwtDQUGvL0Pb4b6IMbY//JsrQ9vhvogxtj/8mytD2+G+iDG2P/ybKeBPvgdUMb/1gL8YYY4wx9nbiFlnGGGOMMaaVOJFljDHGGGNaiRNZxhhjjDGmlTiRZYwxxhhjWokTWcZqEB57+XZLT09Hbm6u1sYHgKSkJDx9+lSjZTDGmKo4kdUSmkpwkpKScPv2bY3EZqorLCwEAAiCoNFkVlOxHz9+jMuXL2skdkma3DexsbH4/fffNVbGo0eP0Lp1a8TFxWllfABITk6Gm5sb7t27p7EyJBKJxmLfvn0bGzZs0PhxdPz4cY3FB4CcnByNxr979y42bNig0TIU5zxNyc7ORlFRkUbLYDUDJ7KVIJPJNBo/Ly8POTk5yM7OhiAIVR7/yZMncHNzQ2hoKK5cuVLl8YHiBGf//v04ePAgbt68WeXx4+PjcejQoTd2wtLED2BsbCwmTJiAkydPAqj6ZPb58+eIj4/Ho0ePNHIc3bhxA97e3vjpp5+QkpJS5fGB/33XFP+Xy+VVGr+wsBCDBg1CTEyMRvYRACQmJkJfXx9ubm5aGR8AMjMzYWxsrLEyYmJiMG3atCpvVSYiSKVSTJkyBU+ePNHYZ5yfn49Bgwbh1q1bGokPFJ/zvL298eTJkyo/Hyn207hx4zTa6n7nzh1MmjQJeXl5Vf5dBorPqf7+/vj22281njCz6seJbAXdu3cP69atQ1JSkkbi3759GwMGDICXlxdatGiB8PBwAFWbSMXFxSErKwtZWVnYsGEDrl69Kq6rinJu3ryJrl27YuXKlZgyZQrmz5+Pf/75p9JxFW7cuIHOnTvj8OHDSE9Pr7K4Cg8fPsT27duxZs0asYWlqn8AJRIJ5s+fj/DwcOzcuRPnz58Xy6mKz+DWrVvw8fHBBx98gEaNGmHLli0Aqu44io+Ph4+PD/r164elS5fC1ta2SuKWdO/ePcycORODBg1CYGAgHj58CB0dnSr9AdTT04NEIoGTk1OVxXyZ4oJUR0czp11Nx1eUIZfLoa+vX6VxFcfj1q1b8ezZM9SuXbtK4wuCAD09PUilUpibmyuVWZWMjIxQWFgIBweHKo+tcOLECRQWFsLR0bHKz0eK/SQIAqytrQFU/UUjAHz99ddIS0uDiYlJlR+vEokEoaGhOHfuHP7880/s2rWLk9m3HCeyFRAfHw9PT0/Mnj0bGzZsqPIk6vbt2+jevTtcXV0RHByMoUOHYuzYsYiOjq7SE1erVq3Qp08fBAQE4NatW1izZg1iYmIAVP4k/+DBA/Tu3RvDhg3DqVOnsH37dly+fBkZGRlVUXU8fPgQ/fr1w5gxY7B169Yyfzgq8x5u3ryJ7t274/vvv8f333+PPn36YNeuXZWpcpn09fXRunVr9OnTBxcvXkRYWBjOnDkDoPJJ87179+Dt7Q0fHx/s3LkT8+fPx4wZM/D8+fMqS5QPHToEX19frF69GoIg4JtvvsHChQuxZs2aKmmdvXXrFjp37oycnBzo6+sjLi4OgwYNwrNnz6r0B7CwsBAGBgZVnoDk5OSgoKBALKOwsBAFBQVVlhxoOj4APHv2DFlZWQCA3Nxc5ObmVnlioDjWMzMzoaurW6Wxgf+dCwoLC2FhYaFUZlXKy8uDIAiwt7ev8tgly9DU06oUx41EIoGZmRkAze0nRfyqvqDQ19fHsGHDYGpqisePH2P37t3YvXs3dzN4i3Eiq6a8vDyEhYWhf//+2LhxI5YvX44vv/yyypLZZ8+eYcaMGRgxYgTWrFmD4cOHY/Xq1ejSpQu2bdsGoGq++DKZDDKZDHfv3oW/vz9CQ0Nx7949rF+/Hl26dMGQIUMqFf/PP/9E06ZNsWzZMpiYmKB3795o27YtoqOjsWvXLvE2ekXduHEDLVu2xJdffilegX/44YeYOHGimHBWNFlLTExEv379MHToUJw4cQJRUVEIDQ3FunXrkJycXGUnXkUcExMTdOzYEYcPH0ZcXBzWrl2LO3fuICQkpMJ9EYkIGzZsgJeXF1asWIF27dph8uTJ8Pb2RlpaGmJjY5GdnV3p93Dv3j3Url0bRITu3btjx44dOHv2LBYtWoRhw4aJLcwV8fTpU3z00UcYP348tm3bhr1792LhwoV48eKFeMFVGU+ePMGRI0cAADo6OsjIyKjSBDApKQm9e/cWj0ddXV2YmJjA2NgYgiBAKpUqdZVQt+ynT59qND4ApKWlYfDgwfjiiy9QWFiI2rVri2UAKFVGRb4bJbtolUw0q0JcXJx4rpFKpcjKyoKJiYnSNpX9Pj9+/Bjnzp0DEUFXV1cjXcGkUqn4b0EQxBbxkssrIy4uDmfOnIGOjg7y8/ORnp4OIyMjsbyqZmBgILb4VmUXPcUx3rNnT4wcORITJ06Eo6MjNm7cyMnsW4wTWTXp6OigXbt26NWrF6ZMmYKIiAisWrWqypJZiUSCzMxMDBo0CMD/vpgNGzbEs2fPAFTNiUVHRwd169aFh4cHbt26hQ8//BCLFi3CoUOHcPPmTfTt27dS8YkIDx8+RHR0NADgiy++wOHDh3HgwAFs3LgRQ4cOxY4dOyoc/+rVq+L+6NOnD86dO4f69evjwYMHWLt2LebNmwdA/X0llUqxfft2tG7dWnxOd506deDp6YmkpCQQUZWd2BVxvLy8cOXKFTRo0AA//vgjYmNj0atXL3z99dfij6y6P7aCICAlJQWmpqZKt22PHj2KwYMHo1OnTggKCsKdO3cqVHepVAoigomJCQoKCnDq1CmYmprizz//xIkTJ5CQkIC0tDR88cUXFYoPFH/GFhYWGD9+vPgevLy8IJfLK53IFhUV4ZNPPsGSJUtw5MgR6Ovrq/TZqvM52Nvbo3bt2ti4cSP27NmDuLg41KtXD8D/buEqWh91dHSQmZmp1ntwcHCAsbGxxuIDQN26ddG0aVOcOnUKq1atwrVr19CkSRPo6emJ2yj2mY6Ojtr9KhMSEvDll1+KA9Ty8/NhaWmptI1MJqvw92Djxo147733cPToUbHOtWrVUtqmMt9nqVSKESNGIDg4GOfPn9dI144HDx6gZ8+e4j7Kzc0Vk3HFxXpF9w9Q/BuzadMmeHl54eTJkzA2NoZMJhMT2aqQkJCASZMmiX+npqaK8atif+Xl5SE/Px86OjogIpiamsLQ0BC//fYb9uzZAzc3N3z99deczL6l9MrfhJVkZGSE0aNHiyeSIUOGgIgwbNgwEBFCQkJgbW0NuVyOBw8eoGHDhmrFt7W1xe7du9G0aVMAxSdxHR0dODo64sGDB0rb5ubmVrgvmeLkrauri1OnTsHPzw8HDx6ETCaDs7Mzzpw5AxcXF3To0KFC8X19fbFr1y4MGTIE7u7uOHjwIA4dOoT+/fuLCc7OnTvRr18/WFlZqf1j0rlzZ0RFReH777+HIAjYvXs3HB0dkZWVhfXr1+Pw4cO4ffs2XFxc1Iqrp6cHNzc31KpVS+lE3qFDB+jr6yM9Pb1Stw3z8/Ohp6cHAwMDcZmuri5u376N7OxstGzZEo0bN8aRI0fQpUsXcXRyRX5sW7ZsieXLl8Pc3BzZ2dkIDw/Hnj174OXlhUuXLmHq1Knw8PBAixYtVI6ZmZkJCwsLMSkICAiAl5cXbt++jRYtWsDc3BwymQx16tTBvn370KZNG1y6dKlCx1GTJk0wfvx4NGvWDEBx0qCnpwdTU9MyR7bL5XKVfxQNDAwwf/58zJ8/H2vXrsX9+/dhZWWFwsJCXLt2DTKZDIaGhuKdi7S0NDRr1gyNGjVSKb5MJoOuri6OHDmCwYMH46uvvoKVlRX++9//il0lateuDZlMhsLCQsjlcjg6OuLAgQMwNTV9beykpCSkpaWhVatWOHr0KAYNGlSl8V+2efNmzJw5E0ePHoVcLse5c+fQtm1b5OTkwMDAAEQk7icbGxscO3YMVlZWKsU+evQolixZgvz8fMyYMQNyuVxs7VUo2dVA3e/BunXr8OLFCwwaNAj79++HtbU1rl+/jgYNGiAjIwM6OjowMTFBYWEhHj58CHd3d7Rt21bl+Hp6evj2228xfPhwLFq0CGPHjkWtWrWQnZ2NW7duQSaTKd0ZSk5ORuPGjdGkSROVyzAyMsI///yDYcOG4aeffkJaWpp4W/7lbhiCIKCgoKBUsv46Ojo6mD9/PgoKCtCnTx9ERkaiefPmuH37Nq5du4b09HQYGhrC2NgY+fn5ePz4Mdq0aaPWeeP69esIDw9Hfn5+qWSysons3bt3MWHCBDRo0ACffvopGjVqBBMTE6xYsQLt27fHvn378O2332LkyJHYvHkzdHR0MGzYMI11z2BvnkA8cWWFKZJMQRAQERGB4cOHIzg4GEFBQVi1ahUePHiAH374odSJWVUlf5gVMwsoboWGhYXB0NAQ06ZNU2odUZWi9Wnnzp1ITExEamoqIiMjce7cOURHR2P27Nno2bMn1q5dq9ZJsaTExERcvnwZt2/fRkxMDA4cOCCuW7FiBfbu3Yu//vpLpfiKxEDh7t27eO+992BhYQEHBwccO3ZMXPfo0SM0b94c3333HYYNG6ZSXZ89e4aUlBTo6+vDxsZGqf+WIAjIy8tDixYtEBkZKf7QXbx4ER07dlQpPlDc3zMkJARz5sxBx44dxRNpYWEhhg0bhj179mDKlCk4duwYVq5ciWXLlsHa2horVqyo8AXFokWLkJubi6tXr8LDwwMrVqwQ1/n7+0NPTw+RkZEqJQjR0dGYOnUqNm3ahFatWoGIUFhYiIULF2Lz5s147733cPDgQXH7mJgYjBgxAj/99BMaN26scp3Lahkt+V3o1asXevbsiVmzZgEAVq5ciSFDhqB+/frlxn75OIqOjsasWbOQk5ODK1euwMDAAGZmZigoKIBEIoGuri4MDQ2hq6uLixcvlnthqhiFTUTiMQQAw4cPR0REBDp16oTu3bvDxMRETALz8/NRu3Zt+Pv7w9XV9bXxnzx5And3d3Tv3h2zZ8+Gp6cnAGDo0KHYv39/peMDxbfKz58/Dz09PTRs2BBt2rQBAMyZMwfh4eGws7PDoEGDYGdnJ35O+fn5MDY2RqdOndC8efNyyyhpw4YNWL58OaZOnYr9+/fDwcEBfn5+yMnJga6uLnR1dSGTyZCeno6mTZsqteypauzYsdi5cycAwMrKCqampsjIyIAgCOLnTUT466+/VEoyk5OToaurCysrK+jq6iIhIQEffPABAIgzFtjb2yMvLw8vXrxArVq1xIvXK1euqHSslpSSkgJfX1+YmJigSZMmuHDhAjp27IiioiJYWVmhqKgIubm5kMvlaNy4MZYuXar2gLy0tDTMnTtX7MLWoEED5OfnIzs7G/r6+jA2NsaLFy+gr6+Pv/76S63vdF5eHn7//XfMnDkT3bt3h66uLogILVu2BABYWFigqKgIeXl5KCgowDvvvIPhw4eXG1cikSAgIACRkZFwdnYGEWHAgAFo2rQpAgMDERISAolEgtWrV+PFixcYN24crly5goULF2LkyJFq7R9WgxGrFLlcTjKZjIiIIiIiSF9fn9555x3S09Oja9euVUl8IqL58+dT7969iYhowYIFJAgCRUdHVzp+VFQUCYJAdnZ2dOXKFXH5oUOHKCEhodLxiYi+/fZb8vf3p8LCQnHZjBkz6P3336fc3NxyXx8bG0urVq2ip0+fKi3/7bffSE9Pj2xsbOj8+fPi8sLCQvL29qYjR46oVL+bN29SmzZtqGXLlmRoaEiff/45yWQy8XOVSCSUnJxMDg4OdOfOHSIimjt3LgmCQKmpqSqVcevWLbKwsKD//Oc/9PDhQ6V1crmcevToQSYmJmRnZ0eXL18mIqK///6bPDw8Sm1floSEBFqzZg3NnDmTIiIiSq0fPHgwbdiwgYiIioqKiIhowIABNHfuXPEYe53o6GjS19en2bNnl1p3/fp1Gj9+PAmCQPPnz6fU1FTKzMykJUuWUMuWLSklJaXc+ERE6enp4r8V+74sPj4+tGLFCiL633fh+vXr5cZ/1XF0/fp18vb2pvbt29PixYvp6dOnlJKSQjExMfTPP/9QSkpKqdeUJSYmhnx9falNmzbk4OBAu3fvJolEIq4fPnw4ubm5UUREBBUUFJQbrywnT54kPT098vb2plGjRtFff/0lrgsICKAWLVpUKv6NGzeofv361L59e7K1taV+/frR3bt3xfXBwcHUoUMHWrZsGWVmZlaojLi4ODp48CDl5+eLy1atWkW2trakp6dHFhYW9N5771GzZs3onXfeoY4dO1Lr1q3J1dWVYmJiyo29YMECGjlyJG3dulVcLpVKac6cOSQIAm3ZsoVSUlIoKSlJ/KxTUlLo2bNnKtX/xo0b1KBBA1q9ejXl5OSQVColouLvoIeHBzVv3pxWrlxJcXFx9OjRI4qOjqa4uDh6/PixSseRgkwmU/puJiUlkaenJwmCQN26daNhw4ZR//79adiwYTR06FD68MMPaeTIkSr9Ljx8+JB27txJX3/9NR0+fFhcnpycTCEhISQIAn3//feUl5dHT548oadPn9KTJ08oKSlJ6Xv6OsnJyUp/5+Xl0d69e6l58+YkCAK1bt2aPD09qWHDhuTi4kKurq7k6upKrVu3phs3bqi4l4q/v76+vjRmzBiaOnUqbdy4kRwdHWnMmDE0dOhQEgSBTp48SUREL168oDFjxlTZbxurGTiRrQJyuVw84Xh7e5OVlZVaX8TXUfygL1y4kCZNmkQrV64kQ0ND+vvvv6skflFREX3//fdiIqBKUqOumJgYMjc3py+//JJ27dpFc+bMIQsLC5X2UVxcHFlZWZEgCDR37lxKS0tTWr93717S0dEhPz8/2rt3L8XFxVFISAg5ODiolADGxMSQtbU1BQcHU0xMDK1atYoEQVB6rVwup9TUVHJwcKCEhARasmQJ1a5dmy5duqTS+8/NzSVfX1/6+OOPxWV37tyha9euUWJiIhER7dixg3r16iVeTCg+d1USkhs3bpCTkxO999571LlzZ9LR0aEvv/xSaZtp06aRg4MDJSYm0t27d2nx4sVUt25dMTF/nVu3bpGRkRF99tln4v7IyMig+Ph4cZv79+/T0qVLqVatWtSgQQNq1aoV2dvb09WrV8uNT1T8Oejq6lJgYKC47OVjUZEweHp60ubNm2n9+vUqfxfKO44UyWzv3r3p119/FZe/LqF+uf7W1tY0Y8YMCg8Pp5kzZ5K+vn6pi9mBAweSi4sL/fDDD5STk6NS7JIyMjKof//+tGXLFmrbti2NGDFCqYyxY8dS8+bNKxT//v375OjoSCEhIZSbm0t//PEH2dnZ0cWLF5W2mz59OrVt25Y+//xzlZMahevXr1PdunVp4sSJ9OTJE6X9u2XLFrKxsaGgoCDx+6e46JLL5eK/Xxfb3t6e/P396f333yddXV365ptvxPUSiYTGjRtHFhYWSsmbOmJjY8na2ppmzZpV6hgiIoqPjyc3Nzfq06cPRUVFVaiMuLg48dzycjL79OlT6tq1K7m5uVFSUlKF4t+4cYPq1atH3bp1oyZNmpCjoyNt2rRJXJ+SkkITJ04kY2NjOn78uLhc1e+C4j0IgkADBw5UWp6bm0t79uwhd3d38vf3F5eX/GxLXuC8iuJcoPD333+Tt7c3vf/++3TkyBHxQnrkyJEkCILS+2BvH05kq4hUKqUZM2ao3DqkrqVLl5IgCGRubi622FUVdU5QFfXf//6XGjduTE2bNqUePXqotI9yc3Np3LhxNGbMGNq0aRMJgkCzZ88u9QNy/Phx8vT0JFtbW2revDk1a9ZMpQQqLS2NunfvTtOnTxeXyeVy6tWrF50/f56uXbtGjx49IqLihNLV1ZV8fHzIwMBAqfW6PAUFBdS1a1e6evUqSaVS8vPzIw8PDzI1NaWOHTvSrl27iIjKTArKu7C4f/8+NWnShObMmSN+jt9//z3Z2trSvXv3xGV37twhb29vEgSBXF1dqXnz5irdMUhPT6cmTZpQmzZtxGVjx46ldu3akb29PXXt2lWpBejevXv0ww8/UGRkJN2/f7/c+ERET548oQ4dOlD79u2pdu3aNHXq1Ne+//79+5OFhQWZmJiodDGh6nF07do18vb2Jn9/f9q/f79KdScqTi59fX1p2rRpSst79OghvpeSdyOGDRtG9vb2tG/fPpXLICo+x6SmplKzZs3o8ePHdPDgQfLw8KCJEyeSh4cHjRs3joiKW2YdHBzUjr9lyxbq0aOH0j7v06cPbdmyhXbu3ElHjx4VlwcHB1OjRo1oxYoVKp8/Hjx4QPXq1SuzVV9h5cqV5OTkRPPnz1fpQlQhLi6O6tWrR3PnzhXrM3HiRAoNDS217ZgxY8jS0pJ++eUXleMrBAcH07Bhw4io+Lz5888/08qVK+nEiRP04MEDIipOdlu1akW9e/dW+a6QQmxsLBkZGSm1IpbVMtuyZUtq1aqV2LKoWF/e+SIhIYHq169Pc+bMoYKCAkpMTKTQ0FDy9fVVOv9kZGTQ+PHjqXbt2mq/ByKiM2fOkL29PVlaWlLfvn2V1uXk5FBERATZ2tpSQECAuFxx0V7ee3jVnZWrV6+St7c3+fj4iPtOsZy93TiRrSJSqZS+++67KulOUJbLly+TIAjl3lqryTIyMig5OZmeP3+u0vb5+fm0adMm8Vb5vn37XpmEpKen07179+jatWtltpSUJT09nZYtW0b37t0Tly1ZskS87eXk5ER+fn4UFRVFqampJAgCGRoaqn2hkpycTHXr1qWjR4/SjBkzyM/Pj65fv06HDx+m4OBgsrW1pZ9++kmtmETFP3DLly+nXr16Kd3mVbTQlrwlTFT8QxEZGUlnz55V6xbnJ598Ql27dqWFCxeSh4cH9erVi7Zu3UqHDh0iT09PqlevHsXFxaldf8V7CA8Pp8GDB9O5c+do3759ZGRkpJTMvpwoDRkyhGrVqkU3b95UqQx1jqPr169Tu3btaMCAASq3aCYnJ1OHDh3o9OnTSvUdO3YsjRgxQtyuZCvS6NGj6Z9//lEpvoLiB37EiBFicvH7779TnTp1yNTUlL799ltx21GjRqkdf/PmzdSoUSPxh19x8ezj40MeHh5kY2OjVEZoaKhat2h//fVX6tOnDxEVt8DNnz+fPvjgA5owYQJt27ZN3G7VqlVUv359mjFjBj1+/LjcuBKJhGbNmkUTJkygFy9eiMtHjhxJvXv3pl69etG8efOUzs2DBw8mZ2dnlbo2ldSrVy9as2YNERF16dKFOnfuTE5OTtSyZUvy9fWlW7duEVFxy6yzszMNGDBApRZGouIL6759+5K/vz8NHz6cLC0t6cSJE0RUdjLbrl07atCggZhAl0cikdBnn31G77//PuXl5YnLf//9d7KwsBAv2hUyMjIoICCA7OzslLYvj1wup0uXLlHXrl3p5MmT5ODgQO+//764XtHVKCIigho1aqTUMlue8u6sREdHk7e3N/n5+dGhQ4fE5W+isYZVH05kq5AmbsuXpO5J923w8nuOiIggQRAoODhYbEGQSCTiLXp1ZWdni//eu3cvCYJA+/bto4yMDIqKiiIPDw9auHAhERGtXbu2QhcScrmchg4dSp988gn17dtXqYXj0aNHNHLkSJo8eTJJpVK1j6GoqCgKCQlRWiaTyahBgwZiq0RFj8uSJ/+ZM2eSra0t+fv7l+r75urqSqNHj1Y7viKxe/DggVLr2N69e0slsyX7ol+4cEHl1l4FVY6joqIiysvLo/v376sdv+TFkOI2aWhoKH300UdK26naD/N1Ro0aJX7m48ePJ0tLS3JxcaFx48bR2bNnKxw3ISGBOnfuTE2aNKGBAweSIAgUGRlJcrmcUlJSaNq0adSjR49Sn7+qFi9eTJ06dSKi4n7OPXr0oOnTp1PPnj2pdevWNGfOHHHbL774glxcXFTugx4XF0enTp0S/166dCnp6OhQYGAgLV68mOrUqUMffvih0i1sdS7mFCZOnEjTp0+nZcuWka+vLz1+/JhkMhkdPHiQ/Pz8aMyYMeIFUGJioloXEzdu3KARI0bQ0aNHKS4ujsaOHUuWlpbibfGXb6cruhmoWoZEIqHw8HBav3690vK0tDRydnam27dvl3pNWlpahfZTUVER9erVi+7fv09//vkn2djY0JAhQ2jChAk0c+ZMkkqllJ+fTzt37qSWLVuqdMGi6p0VRTLbt29fOnDggNp1Z9qHE1mmFUomeYqEc/bs2fTkyROaMWMGDRgwgHJzcyt1MXH//v1S/S39/f2pX79+RFS5q/rLly+TiYkJCYJQ6pbmrFmzqHv37irX/eUfNAXF62UyGTVs2FDpVvDx48dVHnSVm5tL2dnZlJWVpbR81apV9NNPP4nlKOoxcOBAGjRokEqxFa5du0b+/v5lXpxJpVKKiIhQSmalUint3LlTpT69r/O64ygoKIjef/99pW4A6ip5jMyfP5/8/PzEv5ctW0arV6+moqKiCh2nitfs2LGDFi5cSB9//DHZ29tTQkICHTx4kBo3bkyTJ0+mFy9eVPh7kJCQQPv27aOFCxeW+kyXL19O7u7uSq2e6jh27Bh5e3vTd999Rz179hSTl8zMTDHJLXm3IyMj47XxMjIy6Pbt26XuPCQmJtKIESOU+sH+9ddfJAgCXbhwQa065+XlKR0PYWFh5O7uTgMHDqTly5crbbt+/Xpq0KCByneEylJy3EBsbKzYDeLYsWNEVHx8SaVSsU6vOheUlJqaKh4PJfepYll+fj41bNhQqYtQZS6IiIr3m7u7O0VGRhJR8fddcf4r+R7z8/OVGhNeR9N3Vpj24kSWaQ1NzxBRkkwmoxcvXlBAQAAtXbq0SmKePn2aBEGgvn37ircgiYoHYk2YMKHcwSxEZfcPK5m0SCQSys3NpSZNmogj2hUzLDx58qTc+GWNvC/5Y/lykieXy2nQoEFKA8HKEx0dTUZGRvTpp58qxSmZBEokEqVuBtOmTSM9PT21W0rL8rrjqCr60/FMI8VeTrLu3LlDDg4O5OLiQj4+PkrrHj58SMbGxrRnzx5x2euOJcVMI25ubmRgYECff/65UnmKlm/FZ33mzBlq1aqVWsfPzZs3yd/fn6KiopS6B3Tr1o0EQaBRo0YpfWevXr1KLi4upW7Rv45cLn9tMnrv3j0xmVW0zAYHB1N4eLhK37WbN2/SO++8Qxs3blTavuRFb1JSEtnY2IjnpPnz55MgCJSSklKhCyLF+5kyZQr9+OOPRFQ8Y4e1tTVZW1urfdFbkqbvrDDtxIks0yqanCHiZQsWLKB69eop3TaurKioKHJwcKAOHTrQ+PHj6aOPPiJzc3OV+nuW1z+M6H8JeOPGjenKlSu0ZMkSlQdFqTryXkEikVBoaCjZ29ur3Ef2+vXrZGJiUmrAT1mtoFKplPbs2UOCIJClpaVaA+zKwzONvF5lZhoh0uyUearONFJSSEgIeXl5qdy143XT5SUnJ1OnTp2odu3atHnzZrGV89NPP6X27durPC1ZbGwsTZ8+nfz9/Wnx4sWvnAFCkcza2NhQ3759VR5QfOfOHbK0tKSZM2eW2Y9WkeQnJyeTra0t3b9/n7744guqXbu2ygOKHzx4QNu2baPVq1eLrcYKS5cupaCgIBo1apR40XX27FnS1dWl4cOHqxT/VTR9Z4VpF05kmdbR9AwR+/fvp8DAQLK2ttbIiNe7d+9SaGgo+fj40Mcff6xSEqtq/zCFNm3akIeHBxkYGKj0o6TKyPuSycHRo0epX79+ZGdnp/I+SkpKIjs7O/F2u1QqpaCgIPL396fmzZvT2rVrlboOSKVSGj9+PJmampbZf6+yeKaR16vITCNEmp0yT5WZRkrGiI+Pp9DQUDI1NVU5CVdlurzc3Fzy9vampk2bkp2dHfXs2ZOsra1VvjN048YNsrGxoUGDBtF//vMfMjAwoEWLFiltU/IzjomJIWdnZ7KyslKpVV8mk9GkSZNo7Nix4t+nT5+mbdu2UWxsrNKA2/z8fHJ3dyc/Pz+VzxeK91C/fn3q0qULubi4kL6+Pu3cuVNcv2/fPjI2NqamTZsqXcSdOXOGYmNjVSrjdTR9Z4VpD05kmdbR9AwRt27doiFDhmgkeSqp5EMXyqNq/zCpVEoZGRlkbm5Ourq6Kv94qzrynqj4ByQuLo4+/fRTtfqsJiUl0Ycffkjt27enyMhI6tWrF7333ns0a9YsCgwMpIYNG9L48ePF1qPDhw9T48aNqzwJVOCZRsqn7kwjmp4yT9WZRs6ePUv//PMPBQQEULNmzdT6jMubLm/z5s3itkeOHKG1a9fS9u3bVR50lZCQQA0aNKC5c+eKyxYtWkRTpkwp1b1I0fIYFBRE+vr6Ks/UIZVKqWvXrmJi6eXlRe3atSNzc3Nq3LixUkvzo0ePSBAEMjAwUPliRTGN16effkoFBQWUlpZGixcvpjZt2ojz2xYUFNDcuXOrpDvNq7zJO3Ss5uJElmklTc8QoUp/1TdN1Rkc0tLS6MiRI0r9cFWh6sh7xVQ8qgw0ednTp09p1KhRZGRkRD179lS6nRoeHk4WFhb0xx9/EFFxcl3RSd9VxTONVC1NT5lHpNpMI4sXL6aioiI6c+aMytNTKbxuurzZs2eTnZ0d7d27V62YClKplFauXEkff/yx0mDKCRMmkKenJ3l4eNDkyZOVBoTGxsaSv7+/2q2MAwYMoPXr19OCBQvI19eX4uPjSSKR0Lp166hz5860ePFikslklJ+fT2FhYSpflBYVFdGCBQvo/fffV+o7fPToUbKzs6vQLAeVoek7K6zm40SWMS1T3gwOH374oVrzPr6svJH3q1atUnr0qrqePHlCc+fOFefILJlMNmnShIKDgyscm1U/TU+ZV1J5M41UhKrT5Ukkkgp18Xj06JHS7Amff/456erq0vz58+mrr74iDw8P8vb2VrqIU2fkvaJOkydPptatW9OIESNoy5YtStsEBwdTixYtxAtWVS/cFRev+/fvpy+++EJpXWZmJjk7O7/xFlFN31lhNZ8eGGNaRVdXF0QEuVyOoUOHQhAEfPTRR/jll18QHx+PK1euwNjYuMLxdXR0QEQQBEH8GwA+++wzLF26FNeuXYOeXsVPHQ4ODggJCUGtWrUAAIIggIjw7Nkz1K1bF23atKlwbFb9TExMAAAymQw6OjoICAgAEWH48OEQBAFBQUFYtWoVHjx4gF27dsHY2Fg81tRVv3591K9fHwAgl8tRVFSE2rVro1WrVhWuvyAImDVrFnr06IH8/HxMmjRJXOfk5ARbW1tcvnwZurq6KtdbJpNBV1dXjOHk5AQAyMjIQEZGBn777Tf06tULAODj4wNXV1dER0eLy2rXrv3a+Hl5eZDL5SAimJmZAQBWr16Nzp07Y8+ePeI+UvD19cWxY8eQm5sLS0tL6Ovrl/seoqOjsWDBAuzfvx/9+vUTv7+Kc4XinCCRSMTXXLx4ER07diw3dmXo6upi3LhxFT6GmPbTqe4KMMbUJwiCmAAGBASgW7duSEtLw7Vr19C6detKxyciAICenh6cnZ2xatUqfPnll7hy5Qrc3d0rHd/MzAwGBgbi34Ig4KuvvkJ6ejq6dOlS6fis+ikSN8UF1969e7Fu3Tp4e3tjw4YNWLBgAUxMTKosAdHR0cGyZctw4cIFDB48uFKx2rdvj8OHDwMAtm7dipiYGHGdRCJBs2bNIJVKVYp17949rFu3DklJSaXWWVtb44svvkCvXr3Ei1OpVIo2bdrA0dFRpfi3b9/GgAED4OXlhRYtWiA8PBwymQzGxsbYsmULXF1dsXfvXvz555/Iy8sDAPz555+wsLCAoaGhSmVcv34dnTt3houLC4yMjMQkViaTQRAESCQS5ObmiuUCwLx58+Dp6Ym0tDSVyqgMTmL/5aqtLZgxVmnaPPJeYe/evTRp0iSytLTk0cZvoTcxIEdTM41UZro8otfP4KDYJy/30543bx517NhRpaeavWrKPMU+kMlkdOvWLWrTpg3Vq1eP3N3dqV+/fmRhYaHyICxVpsyTy+WUlpZGDg4OlJCQQEuWLKHatWurNO0fY5XFiSxjWuxtGHl//fp18vf3V3twGtMemr7g0uRMIxWZLo9I/SnzYmJiKDQ0lMzMzFTaR+pOmbd161b67LPPaPny5SpPf6XKlHmKJ6sVFBRQy5YtycfHhwwMDKp03mfGXkcg+v97iIwxrUQl+rNqQl5entjvUVOKioqUuhqwt4tMJsOOHTvQrl27Kun6UhaJRKJSX8+KksvlAP7XZ7w8L168wPbt22FtbY2AgADs378fQ4cORXBwMObMmYM6deqI2z58+BBBQUG4e/cu9u7dq1L3nZSUFPTv3x+rVq1Ct27dIJfLoaOjg3HjxqGoqAi7d+8GoNw/V13JycmYMmUKHj16hNDQUGzevBkSiQStW7dGQUEB/vjjD3h7eyM0NBR6enqoV68eDAwMcOnSpUr1U2ZMHZzIMsYY0zhNX3DVRC9fBO7btw/Dhg3DrFmzEBISAmtra8hkMmRkZKCoqAgAxIFgqoiLi0PTpk0B/C+RX7BggTiQTiEnJwempqYA1P8ckpKSEBISggMHDqBr167Yu3cvrK2tAQB79uxBYGAgdu/eDX9/f6xfvx49e/aEi4uLyvEZqyyetYAxxpjG/duSWED1GRwSExOxd+9ecRCVqhRJrFwuF1ujiQipqaniNmFhYTA0NMS0adOgp6en9udgb2+PsLAwODo6wsfHB9bW1mIyPHz4cCxcuBBRUVHw9/fHJ598UuHWX8YqihNZxhhjTINeN2XeP//8g0uXLqmdxJZU3VPmKboRcBLLqgNPv8UYY4xp2KumzLt69WqVzJ1M1ThlXrdu3Sodn7GK4hZZxhhj7A0QBAEymQyzZ8/GyZMnER0dDTc3tyqJrWiF1dfXx7fffgszMzOcPXsWbdu2rZL4JUVERODkyZM4cOAATpw4UeqBC4y9SdwiyxhjjL1Brq6uuHr1qkZG9vv5+QEAzp8/j/bt21d5fABwcXHBkydPcObMGX4SH6t2PGsBY4wx9gbxlHmMVR1OZBljjDHGmFbirgWMMcYYY0wrcSLLGGOMMca0EieyjDHGGGNMK3EiyxhjjDHGtBInsowxxhhjTCtxIssYq3aCICAyMlKjZZw6dQqCICAzM1Oj5WhKgwYNsG7duuquBmOM1SicyDLGNCo5ORlTp05Fo0aNYGhoCGdnZ/Tr1w8nTpwQt0lKSkLv3r01Wo/OnTsjKSkJ5ubmAIAdO3bAwsKi3Nft2LFDfLyorq4uLC0t0bFjRyxZsgRZWVlVXk9V68UYY4wfUcsY06D79++jS5cusLCwwMqVK+Hm5gaJRII///wTgYGBuHv3LgDAzs7utXEkEgn09fUrVRcDA4Nyy3kVMzMzxMbGgoiQmZmJ8+fPIywsDNu3b8e5c+fg4OBQqboxxhirGG6RZYxpzJQpUyAIAi5duoSBAweiWbNmcHV1xcyZM/HXX3+J25XsWnD//n0IgoB9+/bBy8sLtWrVQnh4OABg27ZtcHV1haGhIezt7fHJJ58ovSY6OlqMmZmZCUEQcOrUKQDKXQtOnTqFsWPHIisrS2xtXbRo0SvfhyAIsLOzg729PVq0aIHx48fj/PnzyM3NxZw5c8Tt5HI5wsLC0LBhQxgZGcHd3R0//vijuF5Rh99//x2tWrVCrVq10KlTJ9y6dUtc/7p65efnY9y4cTA1NUW9evWwdevWinwsjDH21uBEljGmEc+ePcORI0cQGBhY5uMyy7t9HhISgunTp+POnTvw8/PDN998g8DAQEyaNAk3b97EL7/8giZNmlSobp07d8a6detgZmaGpKQkJCUlITg4WK0YNjY2GDFiBH755RfIZDIAQFhYGHbt2oXNmzcjJiYGM2bMwMiRIxEVFaX02tmzZ2P16tW4fPky6tati379+kEikZRbr9WrV6N9+/a4du0apkyZgo8//hixsbEV2geMMfY24K4FjDGNiI+PBxGhefPmFXp9UFAQBgwYIP69dOlSzJo1C9OnTxeXeXh4VCi2gYEBzM3NxZbWimrevDlycnKQkZEBc3NzLFu2DMePH4enpycAoFGjRjh79iy2bNkCLy8v8XULFy5Ez549AQA7d+6Ek5MTDh06hCFDhry2Xn369MGUKVMAAJ9++inWrl2LkydP4p133qnwe2CMMW3GiSxjTCOIqFKvb9++vfjv1NRUPH36FO+9915lq1WlFO9REATEx8cjPz9fTFAVioqK0KZNG6VlikQXAKysrPDOO+/gzp075ZbXqlUr8d+KZDc1NbUyb4ExxrQaJ7KMMY1o2rQpBEEQB3Spq2R3BCMjo9duq6NT3EuqZPIskUgqVK467ty5AzMzM1hbWyMhIQEA8Pvvv8PR0VFpO0NDwyop7+UBb4IgQC6XV0lsxhjTRtxHljGmEVZWVvDz88OmTZuQl5dXar0687mampqiQYMGSlN2lVS3bl0AxdN4KZQc+FUWAwMDsW9rRaSmpmLPnj344IMPoKOjAxcXFxgaGuLhw4do0qSJ0n/Ozs5Kry050O358+e4d+8eWrRoUSX1YoyxfxNukWWMacymTZvQpUsXdOjQAUuWLEGrVq0glUpx7NgxfPPNNyrdTldYtGgRJk+eDBsbG/Tu3Rs5OTk4d+4cpk6dCiMjI3Tq1AnLly9Hw4YNkZqaitDQ0NfGa9CgAXJzc3HixAm4u7vD2NgYxsbGZW5LREhOThan37pw4QKWLVsGc3NzLF++HEBxsh0cHIwZM2ZALpeja9euyMrKwrlz52BmZobRo0eL8ZYsWQJra2vY2tpi/vz5qFOnDj744AO168UYY/923CLLGNOYRo0a4erVq3j33Xcxa9YstGzZEj179sSJEyfwzTffqBVr9OjRWLduHb7++mu4urqib9++iIuLE9dv27YNUqkU7dq1Q1BQEJYuXfraeJ07d8bkyZMREBCAunXr4ssvv3zlttnZ2bC3t4ejoyM8PT2xZcsWjB49GteuXYO9vb243eeff44FCxYgLCwMLVq0QK9evfD777+jYcOGSvGWL1+O6dOno127dkhOTsavv/4KAwMDtevFGGP/dgJVdkQGY4wxlZw6dQrvvvsunj9/zk/vYoyxKsAtsowxxhhjTCtxIssYY4wxxrQSdy1gjDHGGGNaiVtkGWOMMcaYVuJEljHGGGOMaSVOZBljjDHGmFbiRJYxxhhjjGklTmQZY4wxxphW4kSWMcYYY4xpJU5kGWOMMcaYVuJEljHGGGOMaSVOZBljjDHGmFb6Pyl5Pbq9elJ4AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 680x451.818 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "sys.path.insert(1, \"_common\")\n",
-    "import metrics\n",
-    "\n",
-    "# metrics.depth_base = 2\n",
-    "# metrics.QV = 0\n",
-    "# apps = [ \"Hidden Shift\", \"Grover's Search\", \"Quantum Fourier Transform (1)\", \"Hamiltonian Simulation\" ]\n",
-    "# backend_id='qasm_simulator'\n",
-    "\n",
-    "metrics.plot_all_app_metrics(backend_id, do_all_plots=False, include_apps=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 179,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "   ┌─────────────────┐\n",
-      "q: ┤ exp(-it Z)(0.4) ├\n",
-      "   └─────────────────┘\n"
-     ]
-    }
-   ],
-   "source": [
-    "from qiskit import QuantumCircuit\n",
-    "from qiskit.quantum_info import Pauli\n",
-    "from qiskit.circuit.library import PauliEvolutionGate\n",
-    "\n",
-    "# Define parameters\n",
-    "omega = 1.0  # Example coefficient\n",
-    "pauli_operator = Pauli('Z')  # Example Pauli operator (Z in this case)\n",
-    "t = 0.4  # Time parameter\n",
-    "\n",
-    "# Create Pauli evolution gate\n",
-    "gate = PauliEvolutionGate(pauli_operator, omega * t)\n",
-    "\n",
-    "# Create a quantum circuit\n",
-    "qc = QuantumCircuit(1)\n",
-    "qc.append(gate, [0])\n",
-    "\n",
-    "# Print the quantum circuit using draw()\n",
-    "print(qc.draw())\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1.1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "import qiskit\n",
-    "print(qiskit.__version__)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/hamlib/qiskit/hamlib-benchmarks-qiskit.ipynb b/hamlib/qiskit/hamlib-benchmarks-qiskit.ipynb
new file mode 100644
index 00000000..c73d1677
--- /dev/null
+++ b/hamlib/qiskit/hamlib-benchmarks-qiskit.ipynb
@@ -0,0 +1,1309 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### QED-C Application-Oriented Benchmarks - Qiskit Version\n",
+    "The notebook contains a suite of application-oriented benchmarks for the Qiskit API.\n",
+    "Configure and run the cell below with the desired execution settings.\n",
+    "Then execute the remaining cells, each containing one benchmark program."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "min_qubits=2\n",
+    "max_qubits=10\n",
+    "skip_qubits=1\n",
+    "max_circuits=1\n",
+    "num_shots=1000\n",
+    "\n",
+    "backend_id=\"qasm_simulator\"\n",
+    "#backend_id=\"statevector_simulator\"\n",
+    "\n",
+    "hub=\"ibm-q\"; group=\"open\"; project=\"main\"\n",
+    "provider_backend = None\n",
+    "exec_options = {}\n",
+    "\n",
+    "# # ==========================\n",
+    "# # *** If using IBMQ hardware, run this once to authenticate\n",
+    "# from qiskit import IBMQ\n",
+    "# IBMQ.save_account('YOUR_API_TOKEN_HERE')\n",
+    "\n",
+    "# # *** If you are part of an IBMQ group, set hub, group, and project name here\n",
+    "# hub=\"YOUR_HUB_NAME\"; group=\"YOUR_GROUP_NAME\"; project=\"YOUR_PROJECT_NAME\"\n",
+    "\n",
+    "# # *** This example shows how to specify an IBMQ backend using a known \"backend_id\"\n",
+    "# exec_options = { \"optimization_level\":3, \"use_sessions\":True, \"resilience_level\":1}\n",
+    "# backend_id=\"ibmq_belem\"\n",
+    "\n",
+    "# # ==========================\n",
+    "# # *** If using Azure Quantum, use this hub identifier and specify the desired backend_id\n",
+    "# # Identify your resources with env variables AZURE_QUANTUM_RESOURCE_ID and AZURE_QUANTUM_LOCATION\n",
+    "# hub=\"azure-quantum\"; group=\"open\"; project=\"QED-C App-Oriented Benchmarks - Qiskit Version\"\n",
+    "# backend_id=\"<YOUR_BACKEND_NAME_HERE>\"\n",
+    "\n",
+    "# # ==========================\n",
+    "# The remaining examples illustrate other backend execution options\n",
+    "\n",
+    "# # An example using IonQ provider\n",
+    "# from qiskit_ionq import IonQProvider\n",
+    "# provider = IonQProvider()   # Be sure to set the QISKIT_IONQ_API_TOKEN environment variable\n",
+    "# provider_backend = provider.get_backend(\"ionq_qpu\")\n",
+    "# backend_id=\"ionq_qpu\"\n",
+    "\n",
+    "# # An example using BlueQubit provider (backend_id=CPU/QPU, device=cpu/qpu)\n",
+    "# import sys\n",
+    "# sys.path.insert(1, \"../..\")\n",
+    "# import os, bluequbit, _common.executors.bluequbit_executor as bluequbit_executor\n",
+    "# provider_backend = bluequbit.init()\n",
+    "# backend_id=\"BlueQubit-CPU\"\n",
+    "# exec_options = { \"executor\": bluequbit_executor.run, \"device\":\"cpu\" }\n",
+    "\n",
+    "# # An example using a typical custom provider backend (e.g. AQT simulator)\n",
+    "# import os\n",
+    "# from qiskit_aqt_provider import AQTProvider\n",
+    "# provider = AQTProvider(os.environ.get('AQT_ACCESS_KEY'))    # get your key from environment\n",
+    "# provider_backend = provider.backends.aqt_qasm_simulator_noise_1\n",
+    "# backend_id=\"aqt_qasm_simulator_noise_1\"\n",
+    "\n",
+    "# # Fire Opal can be used to manage executions on other backends, as illustrated here\n",
+    "# import _common.executors.fire_opal_executor as fire_opal_executor\n",
+    "# from _common.executors.fire_opal_executor import FireOpalBackend\n",
+    "# ibm_backend_id = \"ibmq_jakarta\"\n",
+    "# backend_id = f\"fire_opal_{ibm_backend_id}\"\n",
+    "# provider_backend = FireOpalBackend(ibm_backend_id=ibm_backend_id, hub=hub, group=group, project=project, token=token)\n",
+    "# exec_options = {\"executor\": fire_opal_executor.run}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Custom optimization options can be specified in this cell (below is an example)\n",
+    "\n",
+    "# # Example of pytket Transformer\n",
+    "# import _common.transformers.tket_optimiser as tket_optimiser\n",
+    "# exec_options.update({ \"optimization_level\": 0, \"layout_method\":'sabre', \"routing_method\":'sabre', \"transformer\": tket_optimiser.high_optimisation })\n",
+    "\n",
+    "# # Define a custom noise model to be used during execution\n",
+    "# import _common.custom.custom_qiskit_noise_model as custom_qiskit_noise_model\n",
+    "# exec_options.update({ \"noise_model\": custom_qiskit_noise_model.my_noise_model() })\n",
+    "\n",
+    "# # Example of mthree error mitigation\n",
+    "# import _common.postprocessors.mthree.mthree_em as mthree_em\n",
+    "# exec_options.update({ \"postprocessor\": mthree_em.get_mthree_handlers(backend_id, provider_backend) })\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import hamlib_simulation_benchmark, hamlib_simulation_kernel, hamlib_utils\n",
+    "import execute\n",
+    "\n",
+    "execute.verbose = False\n",
+    "execute.verbose_time = False\n",
+    "hamlib_simulation_benchmark.verbose = False\n",
+    "hamlib_simulation_kernel.verbose = False\n",
+    "hamlib_utils.verbose = False\n",
+    "\n",
+    "hamlib_simulation_kernel.global_U = None\n",
+    "hamlib_simulation_kernel.global_enc = None\n",
+    "hamlib_simulation_kernel.global_ratio = None\n",
+    "hamlib_simulation_kernel.global_rinst = None\n",
+    "hamlib_simulation_kernel.global_h = None\n",
+    "hamlib_simulation_kernel.global_pbc_val = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Hamiltonian Simulation - Method 1 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
+      "... execution starting at Aug 10, 2024 05:23:51 UTC\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 2\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 3\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 2 qubit group = 12, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 2 qubit group = 22, 0.385, 10.0\n",
+      "Average Creation, Elapsed, Execution Time for the 2 qubit group = 0.923, 1.604, 0.018 secs\n",
+      "Average Transpiling, Validating, Running Times for group 2 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 2 qubit group = 1.0, 0.997\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 4\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 3 qubit group = 22, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 3 qubit group = 52, 0.484, 30.0\n",
+      "Average Creation, Elapsed, Execution Time for the 3 qubit group = 1.564, 1.207, 0.004 secs\n",
+      "Average Transpiling, Validating, Running Times for group 3 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 3 qubit group = 0.996, 0.964\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 5\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 18, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 40, 0.488, 40.0\n",
+      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 1.077, 1.565, 0.004 secs\n",
+      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.977, 0.94\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 6\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 5 qubit group = 21, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 5 qubit group = 49, 0.485, 50.0\n",
+      "Average Creation, Elapsed, Execution Time for the 5 qubit group = 1.421, 1.152, 0.006 secs\n",
+      "Average Transpiling, Validating, Running Times for group 5 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 5 qubit group = 0.978, 0.921\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 7\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 19, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 43, 0.488, 60.0\n",
+      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 1.009, 1.374, 0.013 secs\n",
+      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.966, 0.907\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 8\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 7 qubit group = 21, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 7 qubit group = 49, 0.486, 70.0\n",
+      "Average Creation, Elapsed, Execution Time for the 7 qubit group = 1.211, 1.223, 0.046 secs\n",
+      "Average Transpiling, Validating, Running Times for group 7 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 7 qubit group = 0.94, 0.838\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 9\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 23, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 55, 0.488, 80.0\n",
+      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 0.995, 1.444, 0.07 secs\n",
+      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.886, 0.776\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 10\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 9 qubit group = 25, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 9 qubit group = 61, 0.486, 90.0\n",
+      "Average Creation, Elapsed, Execution Time for the 9 qubit group = 1.157, 1.687, 0.213 secs\n",
+      "Average Transpiling, Validating, Running Times for group 9 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 9 qubit group = 0.823, 0.629\n",
+      "\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 27, 0.0\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 67, 0.488, 100.0\n",
+      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 1.149, 0.874, 0.433 secs\n",
+      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.716, 0.513\n",
+      "\n",
+      "... execution complete at Aug 10, 2024 05:24:15 UTC in 23.148 secs\n",
+      "\n",
+      "Sample Circuit:\n",
+      "  H = SparsePauliOp(['ZZIIII', 'ZIIIIZ', 'IZZIII', 'IIIIZZ', 'IIZZII', 'IIIZZI', 'XIIIII', 'IXIIII', 'IIIIIX', 'IIXIII', 'IIIXII', 'IIIIXI'],\n",
+      "              coeffs=[1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 1.+0.j, 2.+0.j, 2.+0.j, 2.+0.j,\n",
+      " 2.+0.j, 2.+0.j, 2.+0.j])\n",
+      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
+      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
+      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
+      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
+      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
+      "meas: 6/═════════════════════════════════════════════════════════════»\n",
+      "                                                                     »\n",
+      "«        ┌──────────────┐┌──────────────┐ ░  ░ ┌─┐               \n",
+      "«   q_0: ┤0             ├┤0             ├─░──░─┤M├───────────────\n",
+      "«        │              ││              │ ░  ░ └╥┘┌─┐            \n",
+      "«   q_1: ┤1             ├┤1             ├─░──░──╫─┤M├────────────\n",
+      "«        │              ││              │ ░  ░  ║ └╥┘┌─┐         \n",
+      "«   q_2: ┤2             ├┤2             ├─░──░──╫──╫─┤M├─────────\n",
+      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
+      "«   q_3: ┤3             ├┤3             ├─░──░──╫──╫──╫─┤M├──────\n",
+      "«        │              ││              │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
+      "«   q_4: ┤4             ├┤4             ├─░──░──╫──╫──╫──╫─┤M├───\n",
+      "«        │              ││              │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
+      "«   q_5: ┤5             ├┤5             ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
+      "«        └──────────────┘└──────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
+      "«meas: 6/═══════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
+      "«                                               0  1  2  3  4  5 \n",
+      "  Initial State Neele:\n",
+      "     ┌───┐\n",
+      "q_0: ┤ X ├\n",
+      "     └───┘\n",
+      "q_1: ─────\n",
+      "     ┌───┐\n",
+      "q_2: ┤ X ├\n",
+      "     └───┘\n",
+      "q_3: ─────\n",
+      "     ┌───┐\n",
+      "q_4: ┤ X ├\n",
+      "     └───┘\n",
+      "q_5: ─────\n",
+      "          \n",
+      "  Evolution Operator (e^-iHt) =\n",
+      "                                    ┌─────────┐                      \n",
+      "q_0: ───────────■──────────■────────┤ Rx(0.8) ├──────────────────────\n",
+      "                │          │ZZ(0.4) └─────────┘           ┌─────────┐\n",
+      "q_1: ───────────┼──────────■─────────────────────■────────┤ Rx(0.8) ├\n",
+      "                │                                │ZZ(0.4) ├─────────┤\n",
+      "q_2: ───────────┼─────────────────────■──────────■────────┤ Rx(0.8) ├\n",
+      "                │                     │ZZ(0.4) ┌─────────┐└─────────┘\n",
+      "q_3: ───────────┼──────────■──────────■────────┤ Rx(0.8) ├───────────\n",
+      "                │          │ZZ(0.4) ┌─────────┐└─────────┘           \n",
+      "q_4: ─■─────────┼──────────■────────┤ Rx(0.8) ├──────────────────────\n",
+      "      │ZZ(0.4)  │ZZ(0.4) ┌─────────┐└─────────┘                      \n",
+      "q_5: ─■─────────■────────┤ Rx(0.8) ├─────────────────────────────────\n",
+      "                         └─────────┘                                 \n",
+      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
+      "     ┌──────────┐                                                         »\n",
+      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
+      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
+      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
+      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
+      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
+      "                                                                │ZZ(0.05) »\n",
+      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
+      "                                                                          »\n",
+      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
+      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
+      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
+      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
+      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
+      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
+      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«                  │ZZ(-0.1)              │                          │  »\n",
+      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
+      "«                                                                       »\n",
+      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
+      "«                                                                       »\n",
+      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
+      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
+      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
+      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
+      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
+      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
+      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
+      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
+      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
+      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
+      "«                │ZZ(-0.1)                                                   »\n",
+      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«                                                                      »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
+      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
+      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
+      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
+      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
+      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
+      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
+      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
+      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
+      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
+      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
+      "«                                                                      »\n",
+      "«                                                              \n",
+      "«q_0: ─────────────────────────────────────────────────────────\n",
+      "«     ┌───────────┐┌───┐                                       \n",
+      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
+      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
+      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
+      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
+      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
+      "«                    │    │                │  ┌───┐            \n",
+      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
+      "«                                             └─┬─┘┌──────────┐\n",
+      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
+      "«                                                  └──────────┘\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x1025 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 680x451.818 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(1, \"hamlib/qiskit\")\n",
+    "# exec_options = {\"noise_model\" : None}\n",
+    "\n",
+    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
+    "hamiltonian_name = 'TFIM'\n",
+    "hamlib_simulation_kernel.global_h = 2\n",
+    "hamlib_simulation_kernel.global_pbc_val = 'pbc'\n",
+    "\n",
+    "hamlib_simulation_benchmark.run(min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
+    "                max_circuits=max_circuits, num_shots=num_shots,\n",
+    "                method=1, hamiltonian = hamiltonian_name,\n",
+    "                backend_id=backend_id, provider_backend=provider_backend,\n",
+    "                hub=hub, group=group, project=project, exec_options=exec_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Hamiltonian Simulation - Method 2 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
+      "... execution starting at Aug 10, 2024 05:24:16 UTC\n",
+      "No valid dataset found for qubits = 2\n",
+      "No valid dataset found for qubits = 3\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 4\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 6\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 584, 0.333\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 404, 0.443, 240.0\n",
+      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 3.744, 3.373, 0.017 secs\n",
+      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.614, 0.306\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 8\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 1120, 0.333\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 792, 0.443, 480.0\n",
+      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 3.182, 5.48, 0.095 secs\n",
+      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.396, 0.137\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 10\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 1236, 0.333\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 872, 0.443, 720.0\n",
+      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 2.381, 7.589, 0.736 secs\n",
+      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.334, 0.028\n",
+      "\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 1352, 0.333\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 952, 0.443, 960.0\n",
+      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 2.88, 4.761, 2.409 secs\n",
+      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.203, 0.0\n",
+      "\n",
+      "... execution complete at Aug 10, 2024 05:25:13 UTC in 57.304 secs\n",
+      "\n",
+      "Sample Circuit:\n",
+      "  H = SparsePauliOp(['YZYIII', 'YZYZII', 'YZZYII', 'YZIYII', 'YIYIII', 'YIYZII', 'YIZYII', 'YIIYII', 'ZYYIII', 'ZYYZII', 'ZYZYII', 'ZYIYII', 'IYYIII', 'IYYZII', 'IYZYII', 'IYIYII', 'IIYZYI', 'IIYZYZ', 'IIYZZY', 'IIYZIY', 'IIYIYI', 'IIYIYZ', 'IIYIZY', 'IIYIIY', 'IIZYYI', 'IIZYYZ', 'IIZYZY', 'IIZYIY', 'IIIYYI', 'IIIYYZ', 'IIIYZY', 'IIIYIY'],\n",
+      "              coeffs=[-0.25      +0.j,  0.9330127 +0.j, -0.48296291+0.j,  0.48296291+0.j,\n",
+      "  0.0669873 +0.j, -0.25      +0.j,  0.12940952+0.j, -0.12940952+0.j,\n",
+      "  0.12940952+0.j, -0.48296291+0.j,  0.25      +0.j, -0.25      +0.j,\n",
+      " -0.12940952+0.j,  0.48296291+0.j, -0.25      +0.j,  0.25      +0.j,\n",
+      " -0.25      +0.j,  0.9330127 +0.j, -0.48296291+0.j,  0.48296291+0.j,\n",
+      "  0.0669873 +0.j, -0.25      +0.j,  0.12940952+0.j, -0.12940952+0.j,\n",
+      "  0.12940952+0.j, -0.48296291+0.j,  0.25      +0.j, -0.25      +0.j,\n",
+      " -0.12940952+0.j,  0.48296291+0.j, -0.25      +0.j,  0.25      +0.j])\n",
+      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
+      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
+      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
+      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
+      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
+      "meas: 6/═════════════════════════════════════════════════════════════»\n",
+      "                                                                     »\n",
+      "«        ┌──────────────┐┌──────────────┐ ░  ░ ┌─┐               \n",
+      "«   q_0: ┤0             ├┤0             ├─░──░─┤M├───────────────\n",
+      "«        │              ││              │ ░  ░ └╥┘┌─┐            \n",
+      "«   q_1: ┤1             ├┤1             ├─░──░──╫─┤M├────────────\n",
+      "«        │              ││              │ ░  ░  ║ └╥┘┌─┐         \n",
+      "«   q_2: ┤2             ├┤2             ├─░──░──╫──╫─┤M├─────────\n",
+      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
+      "«   q_3: ┤3             ├┤3             ├─░──░──╫──╫──╫─┤M├──────\n",
+      "«        │              ││              │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
+      "«   q_4: ┤4             ├┤4             ├─░──░──╫──╫──╫──╫─┤M├───\n",
+      "«        │              ││              │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
+      "«   q_5: ┤5             ├┤5             ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
+      "«        └──────────────┘└──────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
+      "«meas: 6/═══════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
+      "«                                               0  1  2  3  4  5 \n",
+      "  Initial State Neele:\n",
+      "     ┌───┐\n",
+      "q_0: ┤ X ├\n",
+      "     └───┘\n",
+      "q_1: ─────\n",
+      "     ┌───┐\n",
+      "q_2: ┤ X ├\n",
+      "     └───┘\n",
+      "q_3: ─────\n",
+      "     ┌───┐\n",
+      "q_4: ┤ X ├\n",
+      "     └───┘\n",
+      "q_5: ─────\n",
+      "          \n",
+      "  Evolution Operator (e^-iHt) =\n",
+      "                                                                     »\n",
+      "q_0: ────────────────────────────────────────────────────────────────»\n",
+      "     ┌───────────────┐                                               »\n",
+      "q_1: ┤ U3(π/2,0,π/2) ├───────────────────────────────────────────────»\n",
+      "     └───────────────┘                      ┌───┐┌─────────────┐┌───┐»\n",
+      "q_2: ───────────────────────────────────────┤ X ├┤ Rz(0.37321) ├┤ X ├»\n",
+      "     ┌───────────────┐     ┌───┐┌──────────┐└─┬─┘└─────────────┘└─┬─┘»\n",
+      "q_3: ┤ U3(π/2,0,π/2) ├─────┤ X ├┤ Rz(-0.1) ├──■───────────────────■──»\n",
+      "     └───────────────┘┌───┐└─┬─┘└──────────┘                         »\n",
+      "q_4: ─────────────────┤ X ├──■───────────────────────────────────────»\n",
+      "     ┌───────────────┐└─┬─┘                                          »\n",
+      "q_5: ┤ U3(π/2,0,π/2) ├──■────────────────────────────────────────────»\n",
+      "     └───────────────┘                                               »\n",
+      "«                                                                              »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                              »\n",
+      "«q_1: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«     ┌───────────────┐┌───┐┌──────────────┐┌───┐     ┌───┐┌─────────────┐┌───┐»\n",
+      "«q_2: ┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.19319) ├┤ X ├─────┤ X ├┤ Rz(0.19319) ├┤ X ├»\n",
+      "«     └──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘┌───┐└─┬─┘└─────────────┘└─┬─┘»\n",
+      "«q_3: ───┤0         ├────■────────────────────■──┤ X ├──┼───────────────────┼──»\n",
+      "«        │  Unitary │                            └─┬─┘  │                   │  »\n",
+      "«q_4: ───┤1         ├──────────────────────────────■────■───────────────────■──»\n",
+      "«        └──────────┘                                                          »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                              »\n",
+      "«                                                                            »\n",
+      "«q_0: ───────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«q_1: ───────────────────────────────────────────────────────────────────────»\n",
+      "«     ┌────────────────┐                                                     »\n",
+      "«q_2: ┤ U3(π/2,π/2,-π) ├─────────────────────────────────────────────────────»\n",
+      "«     └────────────────┘                  ┌────────────────┐┌───────────────┐»\n",
+      "«q_3: ────────────────────────────────────┤0               ├┤ U3(π/2,0,π/2) ├»\n",
+      "«           ┌───┐       ┌───────────────┐ │                │└───────────────┘»\n",
+      "«q_4: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤  Ryy(0.026795) ├─────────────────»\n",
+      "«           └─┬─┘       ├───────────────┴┐│                │┌───────────────┐»\n",
+      "«q_5: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1               ├┤ U3(π/2,0,π/2) ├»\n",
+      "«                       └────────────────┘└────────────────┘└───────────────┘»\n",
+      "«                                                                           »\n",
+      "«q_0: ──────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                           »\n",
+      "«q_1: ──────────────────────────────────────────────────────────────────────»\n",
+      "«          ┌───┐┌──────────┐┌───┐┌───────────────┐┌───┐┌──────────────┐┌───┐»\n",
+      "«q_2: ─────┤ X ├┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.051764) ├┤ X ├»\n",
+      "«     ┌───┐└─┬─┘└──────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘»\n",
+      "«q_3: ┤ X ├──■────────────────■─────┤0         ├────■────────────────────■──»\n",
+      "«     └─┬─┘                         │          │                            »\n",
+      "«q_4: ──┼───────────────────────────┤  Unitary ├────────────────────────────»\n",
+      "«       │                           │          │                            »\n",
+      "«q_5: ──■───────────────────────────┤1         ├────────────────────────────»\n",
+      "«                                   └──────────┘                            »\n",
+      "«                                                                      »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
+      "«                                                                      »\n",
+      "«q_1: ─────────────────────────────────────────────────────────────────»\n",
+      "«     ┌────────────────┐                  ┌─────────────────┐          »\n",
+      "«q_2: ┤ U3(π/2,π/2,-π) ├──────────────────┤0                ├──────────»\n",
+      "«     └─────┬───┬──────┘┌───────────────┐ │                 │     ┌───┐»\n",
+      "«q_3: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤                 ├─────┤ X ├»\n",
+      "«           └─┬─┘       └───────────────┘ │  Ryy(-0.051764) │┌───┐└─┬─┘»\n",
+      "«q_4: ────────┼───────────────────────────┤                 ├┤ X ├──■──»\n",
+      "«             │         ┌────────────────┐│                 │└─┬─┘     »\n",
+      "«q_5: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1                ├──■───────»\n",
+      "«                       └────────────────┘└─────────────────┘          »\n",
+      "«                                                                     »\n",
+      "«q_0: ────────────────────────────────────────────────────────────────»\n",
+      "«                                                                     »\n",
+      "«q_1: ────────────────────────────────────────────────────────────────»\n",
+      "«                     ┌───┐┌──────────────┐┌───┐┌───────────────┐┌───┐»\n",
+      "«q_2: ────────────────┤ X ├┤ Rz(-0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├»\n",
+      "«     ┌──────────────┐└─┬─┘└──────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘»\n",
+      "«q_3: ┤ Rz(0.051764) ├──■────────────────────■─────┤0         ├────■──»\n",
+      "«     └──────────────┘                             │  Unitary │       »\n",
+      "«q_4: ─────────────────────────────────────────────┤1         ├───────»\n",
+      "«                                                  └──────────┘       »\n",
+      "«q_5: ────────────────────────────────────────────────────────────────»\n",
+      "«                                                                     »\n",
+      "«                                                                  »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────»\n",
+      "«                                                                  »\n",
+      "«q_1: ─────────────────────────────────────────────────────────────»\n",
+      "«     ┌─────────┐┌───┐     ┌───┐┌──────────┐┌───┐┌────────────────┐»\n",
+      "«q_2: ┤ Rz(0.1) ├┤ X ├─────┤ X ├┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├»\n",
+      "«     └─────────┘└─┬─┘┌───┐└─┬─┘└──────────┘└─┬─┘└────────────────┘»\n",
+      "«q_3: ─────────────■──┤ X ├──┼────────────────┼────────────────────»\n",
+      "«                     └─┬─┘  │                │        ┌───┐       »\n",
+      "«q_4: ──────────────────■────■────────────────■────────┤ X ├───────»\n",
+      "«                                                      └─┬─┘       »\n",
+      "«q_5: ───────────────────────────────────────────────────■─────────»\n",
+      "«                                                                  »\n",
+      "«                                                                     »\n",
+      "«q_0: ────────────────────────────────────────────────────────────────»\n",
+      "«                                                                     »\n",
+      "«q_1: ────────────────────────────────────────────────────────────────»\n",
+      "«                                                                ┌───┐»\n",
+      "«q_2: ───────────────────────────────────────────────────────────┤ X ├»\n",
+      "«                       ┌─────────────────┐┌───────────────┐┌───┐└─┬─┘»\n",
+      "«q_3: ──────────────────┤0                ├┤ U3(π/2,0,π/2) ├┤ X ├──■──»\n",
+      "«     ┌────────────────┐│  Ryy(-0.051764) │├───────────────┤└─┬─┘     »\n",
+      "«q_4: ┤ U3(π/2,π/2,-π) ├┤1                ├┤ U3(π/2,0,π/2) ├──■───────»\n",
+      "«     └────────────────┘└─────────────────┘└───────────────┘          »\n",
+      "«q_5: ────────────────────────────────────────────────────────────────»\n",
+      "«                                                                     »\n",
+      "«                                                                »\n",
+      "«q_0: ───────────────────────────────────────────────────────────»\n",
+      "«                                                                »\n",
+      "«q_1: ───────────────────────────────────────────────────────────»\n",
+      "«     ┌─────────────┐┌───┐┌───────────────┐┌───┐┌──────────┐┌───┐»\n",
+      "«q_2: ┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.1) ├┤ X ├»\n",
+      "«     └─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────┘└─┬─┘»\n",
+      "«q_3: ─────────────────■─────┤0         ├────■────────────────■──»\n",
+      "«                            │  Unitary │                        »\n",
+      "«q_4: ───────────────────────┤1         ├────────────────────────»\n",
+      "«                            └──────────┘                        »\n",
+      "«q_5: ───────────────────────────────────────────────────────────»\n",
+      "«                                                                »\n",
+      "«                                                                            »\n",
+      "«q_0: ───────────────────────────────────────────────────────────────────────»\n",
+      "«                                                           ┌───┐┌──────────┐»\n",
+      "«q_1: ──────────────────────────────────────────────────────┤ X ├┤ Rz(-0.1) ├»\n",
+      "«     ┌────────────────┐                  ┌───────────┐┌───┐└─┬─┘└──────────┘»\n",
+      "«q_2: ┤ U3(π/2,π/2,-π) ├──────────────────┤0          ├┤ X ├──■──────────────»\n",
+      "«     └─────┬───┬──────┘┌───────────────┐ │           │└─┬─┘                 »\n",
+      "«q_3: ──────┤ X ├───────┤ U3(π/2,0,π/2) ├─┤  Ryy(0.1) ├──■───────────────────»\n",
+      "«           └─┬─┘       ├───────────────┴┐│           │                      »\n",
+      "«q_4: ────────■─────────┤ U3(π/2,π/2,-π) ├┤1          ├──────────────────────»\n",
+      "«                       └────────────────┘└───────────┘                      »\n",
+      "«q_5: ───────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«     ┌───┐┌─────────────┐┌───┐┌───────────────┐┌───┐┌──────────────┐┌───┐     »\n",
+      "«q_0: ┤ X ├┤ Rz(0.37321) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(-0.19319) ├┤ X ├─────»\n",
+      "«     └─┬─┘└─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘┌───┐»\n",
+      "«q_1: ──■───────────────────■─────┤0         ├────■────────────────────■──┤ X ├»\n",
+      "«                                 │  Unitary │                            └─┬─┘»\n",
+      "«q_2: ────────────────────────────┤1         ├──────────────────────────────■──»\n",
+      "«                                 └──────────┘                                 »\n",
+      "«q_3: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                              »\n",
+      "«q_4: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                              »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                              »\n",
+      "«     ┌───┐┌─────────────┐┌───┐┌────────────────┐                  »\n",
+      "«q_0: ┤ X ├┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,π/2,-π) ├──────────────────»\n",
+      "«     └─┬─┘└─────────────┘└─┬─┘└────────────────┘                  »\n",
+      "«q_1: ──┼───────────────────┼──────────────────────────────────────»\n",
+      "«       │                   │        ┌───┐       ┌───────────────┐ »\n",
+      "«q_2: ──■───────────────────■────────┤ X ├───────┤ U3(π/2,0,π/2) ├─»\n",
+      "«                                    └─┬─┘       ├───────────────┴┐»\n",
+      "«q_3: ─────────────────────────────────■─────────┤ U3(π/2,π/2,-π) ├»\n",
+      "«                                                └────────────────┘»\n",
+      "«q_4: ─────────────────────────────────────────────────────────────»\n",
+      "«                                                                  »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────»\n",
+      "«                                                                  »\n",
+      "«                                             ┌───┐┌──────────┐┌───┐»\n",
+      "«q_0: ────────────────────────────────────────┤ X ├┤ Rz(-0.1) ├┤ X ├»\n",
+      "«     ┌────────────────┐┌───────────────┐┌───┐└─┬─┘└──────────┘└─┬─┘»\n",
+      "«q_1: ┤0               ├┤ U3(π/2,0,π/2) ├┤ X ├──■────────────────■──»\n",
+      "«     │                │└───────────────┘└─┬─┘                      »\n",
+      "«q_2: ┤  Ryy(0.026795) ├───────────────────┼────────────────────────»\n",
+      "«     │                │┌───────────────┐  │                        »\n",
+      "«q_3: ┤1               ├┤ U3(π/2,0,π/2) ├──■────────────────────────»\n",
+      "«     └────────────────┘└───────────────┘                           »\n",
+      "«q_4: ──────────────────────────────────────────────────────────────»\n",
+      "«                                                                   »\n",
+      "«q_5: ──────────────────────────────────────────────────────────────»\n",
+      "«                                                                   »\n",
+      "«     ┌───────────────┐┌───┐┌──────────────┐┌───┐┌────────────────┐»\n",
+      "«q_0: ┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.051764) ├┤ X ├┤ U3(π/2,π/2,-π) ├»\n",
+      "«     └──┬──────────┬─┘└─┬─┘└──────────────┘└─┬─┘└─────┬───┬──────┘»\n",
+      "«q_1: ───┤0         ├────■────────────────────■────────┤ X ├───────»\n",
+      "«        │          │                                  └─┬─┘       »\n",
+      "«q_2: ───┤  Unitary ├────────────────────────────────────┼─────────»\n",
+      "«        │          │                                    │         »\n",
+      "«q_3: ───┤1         ├────────────────────────────────────■─────────»\n",
+      "«        └──────────┘                                              »\n",
+      "«q_4: ─────────────────────────────────────────────────────────────»\n",
+      "«                                                                  »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────»\n",
+      "«                                                                  »\n",
+      "«                       ┌─────────────────┐                          ┌───┐»\n",
+      "«q_0: ──────────────────┤0                ├──────────────────────────┤ X ├»\n",
+      "«     ┌───────────────┐ │                 │     ┌───┐┌──────────────┐└─┬─┘»\n",
+      "«q_1: ┤ U3(π/2,0,π/2) ├─┤                 ├─────┤ X ├┤ Rz(0.051764) ├──■──»\n",
+      "«     └───────────────┘ │  Ryy(-0.051764) │┌───┐└─┬─┘└──────────────┘     »\n",
+      "«q_2: ──────────────────┤                 ├┤ X ├──■───────────────────────»\n",
+      "«     ┌────────────────┐│                 │└─┬─┘                          »\n",
+      "«q_3: ┤ U3(π/2,π/2,-π) ├┤1                ├──■────────────────────────────»\n",
+      "«     └────────────────┘└─────────────────┘                               »\n",
+      "«q_4: ────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                         »\n",
+      "«q_5: ────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                         »\n",
+      "«     ┌──────────────┐┌───┐┌───────────────┐┌───┐┌─────────┐┌───┐     ┌───┐»\n",
+      "«q_0: ┤ Rz(-0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├┤ Rz(0.1) ├┤ X ├─────┤ X ├»\n",
+      "«     └──────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘└─────────┘└─┬─┘┌───┐└─┬─┘»\n",
+      "«q_1: ──────────────────■─────┤0         ├────■───────────────■──┤ X ├──┼──»\n",
+      "«                             │  Unitary │                       └─┬─┘  │  »\n",
+      "«q_2: ────────────────────────┤1         ├─────────────────────────■────■──»\n",
+      "«                             └──────────┘                                 »\n",
+      "«q_3: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«q_4: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«     ┌──────────┐┌───┐┌────────────────┐                                     »\n",
+      "«q_0: ┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├─────────────────────────────────────»\n",
+      "«     └──────────┘└─┬─┘└────────────────┘                  ┌─────────────────┐»\n",
+      "«q_1: ──────────────┼──────────────────────────────────────┤0                ├»\n",
+      "«                   │        ┌───┐       ┌────────────────┐│  Ryy(-0.051764) │»\n",
+      "«q_2: ──────────────■────────┤ X ├───────┤ U3(π/2,π/2,-π) ├┤1                ├»\n",
+      "«                            └─┬─┘       └────────────────┘└─────────────────┘»\n",
+      "«q_3: ─────────────────────────■──────────────────────────────────────────────»\n",
+      "«                                                                             »\n",
+      "«q_4: ────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                             »\n",
+      "«q_5: ────────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                             »\n",
+      "«                           ┌───┐┌─────────────┐┌───┐┌───────────────┐┌───┐»\n",
+      "«q_0: ──────────────────────┤ X ├┤ Rz(0.19319) ├┤ X ├┤ U3(π/2,0,π/2) ├┤ X ├»\n",
+      "«     ┌───────────────┐┌───┐└─┬─┘└─────────────┘└─┬─┘└──┬──────────┬─┘└─┬─┘»\n",
+      "«q_1: ┤ U3(π/2,0,π/2) ├┤ X ├──■───────────────────■─────┤0         ├────■──»\n",
+      "«     ├───────────────┤└─┬─┘                            │  Unitary │       »\n",
+      "«q_2: ┤ U3(π/2,0,π/2) ├──■──────────────────────────────┤1         ├───────»\n",
+      "«     └───────────────┘                                 └──────────┘       »\n",
+      "«q_3: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«q_4: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«q_5: ─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                          »\n",
+      "«     ┌──────────┐┌───┐┌────────────────┐                  ┌───────────┐\n",
+      "«q_0: ┤ Rz(-0.1) ├┤ X ├┤ U3(π/2,π/2,-π) ├──────────────────┤0          ├\n",
+      "«     └──────────┘└─┬─┘└─────┬───┬──────┘                  │           │\n",
+      "«q_1: ──────────────■────────┤ X ├─────────────────────────┤  Ryy(0.1) ├\n",
+      "«                            └─┬─┘       ┌────────────────┐│           │\n",
+      "«q_2: ─────────────────────────■─────────┤ U3(π/2,π/2,-π) ├┤1          ├\n",
+      "«                                        └────────────────┘└───────────┘\n",
+      "«q_3: ──────────────────────────────────────────────────────────────────\n",
+      "«                                                                       \n",
+      "«q_4: ──────────────────────────────────────────────────────────────────\n",
+      "«                                                                       \n",
+      "«q_5: ──────────────────────────────────────────────────────────────────\n",
+      "«                                                                       \n",
+      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
+      "     ┌──────────┐                                                         »\n",
+      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
+      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
+      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
+      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
+      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
+      "                                                                │ZZ(0.05) »\n",
+      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
+      "                                                                          »\n",
+      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
+      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
+      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
+      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
+      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
+      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
+      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«                  │ZZ(-0.1)              │                          │  »\n",
+      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
+      "«                                                                       »\n",
+      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
+      "«                                                                       »\n",
+      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
+      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
+      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
+      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
+      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
+      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
+      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
+      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
+      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
+      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
+      "«                │ZZ(-0.1)                                                   »\n",
+      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«                                                                      »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
+      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
+      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
+      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
+      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
+      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
+      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
+      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
+      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
+      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
+      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
+      "«                                                                      »\n",
+      "«                                                              \n",
+      "«q_0: ─────────────────────────────────────────────────────────\n",
+      "«     ┌───────────┐┌───┐                                       \n",
+      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
+      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
+      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
+      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
+      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
+      "«                    │    │                │  ┌───┐            \n",
+      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
+      "«                                             └─┬─┘┌──────────┐\n",
+      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
+      "«                                                  └──────────┘\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x1025 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 680x451.818 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(1, \"hamlib/qiskit\")\n",
+    "# exec_options = {\"noise_model\" : None}\n",
+    "\n",
+    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
+    "hamiltonian_name = 'Bose-Hubbard-1D'\n",
+    "hamlib_simulation_kernel.global_pbc_val = 'nonpbc'\n",
+    "hamlib_simulation_kernel.global_U = 10\n",
+    "hamlib_simulation_kernel.global_enc = 'gray'\n",
+    "\n",
+    "hamlib_simulation_benchmark.run(\n",
+    "    min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
+    "    max_circuits=max_circuits, num_shots=num_shots,\n",
+    "    method=2, hamiltonian = hamiltonian_name,\n",
+    "    backend_id=backend_id, provider_backend=provider_backend,\n",
+    "    hub=hub, group=group, project=project, exec_options=exec_options\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Hamiltonian Simulation - Method 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hamiltonian Simulation Benchmark Program - Qiskit\n",
+      "... execution starting at Aug 10, 2024 05:25:15 UTC\n",
+      "No valid dataset found for qubits = 2\n",
+      "No valid dataset found for qubits = 3\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 4\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 5\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 4 qubit group = 226, 0.588\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 4 qubit group = 266, 0.641, 200.0\n",
+      "Average Creation, Elapsed, Execution Time for the 4 qubit group = 0.922, 1.091, 0.011 secs\n",
+      "Average Transpiling, Validating, Running Times for group 4 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 4 qubit group = 0.699, 0.674\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 6\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 5 qubit group = 318, 0.596\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 5 qubit group = 318, 0.648, 300.0\n",
+      "Average Creation, Elapsed, Execution Time for the 5 qubit group = 1.021, 1.107, 0.022 secs\n",
+      "Average Transpiling, Validating, Running Times for group 5 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 5 qubit group = 0.562, 0.542\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 7\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 6 qubit group = 340, 0.53\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 6 qubit group = 404, 0.653, 400.0\n",
+      "Average Creation, Elapsed, Execution Time for the 6 qubit group = 1.008, 1.304, 0.065 secs\n",
+      "Average Transpiling, Validating, Running Times for group 6 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 6 qubit group = 0.491, 0.478\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 8\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 7 qubit group = 608, 0.624\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 7 qubit group = 664, 0.684, 680.0\n",
+      "Average Creation, Elapsed, Execution Time for the 7 qubit group = 1.189, 1.596, 0.359 secs\n",
+      "Average Transpiling, Validating, Running Times for group 7 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 7 qubit group = 0.321, 0.31\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 9\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 8 qubit group = 562, 0.541\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 8 qubit group = 670, 0.664, 740.0\n",
+      "Average Creation, Elapsed, Execution Time for the 8 qubit group = 1.46, 1.899, 0.482 secs\n",
+      "Average Transpiling, Validating, Running Times for group 8 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 8 qubit group = 0.259, 0.252\n",
+      "\n",
+      "************\n",
+      "Executing [1] circuits with num_qubits = 10\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 9 qubit group = 832, 0.579\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 9 qubit group = 1094, 0.683, 1000.0\n",
+      "Average Creation, Elapsed, Execution Time for the 9 qubit group = 1.735, 3.946, 2.298 secs\n",
+      "Average Transpiling, Validating, Running Times for group 9 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 9 qubit group = 0.219, 0.215\n",
+      "\n",
+      "************\n",
+      "Average Circuit Algorithmic Depth, ξ (xi) for the 10 qubit group = 776, 0.527\n",
+      "Average Normalized Transpiled Depth, ξ (xi), 2q gates for the 10 qubit group = 1048, 0.672, 1180.0\n",
+      "Average Creation, Elapsed, Execution Time for the 10 qubit group = 3.644, 2.28, 2.011 secs\n",
+      "Average Transpiling, Validating, Running Times for group 10 = 0.001, 0.001, 0.001 secs\n",
+      "Average Hellinger, Normalized Fidelity for the 10 qubit group = 0.152, 0.148\n",
+      "\n",
+      "... execution complete at Aug 10, 2024 05:25:36 UTC in 21.388 secs\n",
+      "\n",
+      "Sample Circuit:\n",
+      "  H = SparsePauliOp(['IIIIII', 'ZIIIII', 'ZZIZII', 'ZZIIZI', 'ZIIZII', 'ZIIZZI', 'ZIIIZI', 'IZIIII', 'IZZIII', 'IZZZII', 'IZZIIZ', 'IZIZII', 'IZIIZZ', 'IZIIIZ', 'IIZZII', 'IIZIIZ', 'IIIZII', 'IIIZZI', 'IIIZIZ', 'IIIIZI', 'IIIIZZ', 'IIIIIZ'],\n",
+      "              coeffs=[10.5  +0.j, -0.125+0.j, -0.125+0.j,  0.125+0.j,  0.25 +0.j,  0.125+0.j,\n",
+      "  0.25 +0.j, -0.125+0.j,  0.25 +0.j,  0.125+0.j, -0.125+0.j, -0.25 +0.j,\n",
+      " -0.125+0.j,  0.25 +0.j, -0.125+0.j, -0.125+0.j, -0.375+0.j, -0.375+0.j,\n",
+      "  0.25 +0.j, -0.125+0.j,  0.125+0.j,  0.75 +0.j])\n",
+      "        ┌────────┐ ░ ┌──────────────┐┌──────────────┐┌──────────────┐»\n",
+      "   q_0: ┤0       ├─░─┤0             ├┤0             ├┤0             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_1: ┤1       ├─░─┤1             ├┤1             ├┤1             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_2: ┤2       ├─░─┤2             ├┤2             ├┤2             ├»\n",
+      "        │  Neele │ ░ │  e^-iHt(0.2) ││  e^-iHt(0.2) ││  e^-iHt(0.2) │»\n",
+      "   q_3: ┤3       ├─░─┤3             ├┤3             ├┤3             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_4: ┤4       ├─░─┤4             ├┤4             ├┤4             ├»\n",
+      "        │        │ ░ │              ││              ││              │»\n",
+      "   q_5: ┤5       ├─░─┤5             ├┤5             ├┤5             ├»\n",
+      "        └────────┘ ░ └──────────────┘└──────────────┘└──────────────┘»\n",
+      "meas: 6/═════════════════════════════════════════════════════════════»\n",
+      "                                                                     »\n",
+      "«        ┌──────────────┐┌──────────────┐ ░ ┌─────────────┐┌─────────────┐»\n",
+      "«   q_0: ┤0             ├┤0             ├─░─┤0            ├┤0            ├»\n",
+      "«        │              ││              │ ░ │             ││             │»\n",
+      "«   q_1: ┤1             ├┤1             ├─░─┤1            ├┤1            ├»\n",
+      "«        │              ││              │ ░ │             ││             │»\n",
+      "«   q_2: ┤2             ├┤2             ├─░─┤2            ├┤2            ├»\n",
+      "«        │  e^-iHt(0.2) ││  e^-iHt(0.2) │ ░ │  e^iHt(0.2) ││  e^iHt(0.2) │»\n",
+      "«   q_3: ┤3             ├┤3             ├─░─┤3            ├┤3            ├»\n",
+      "«        │              ││              │ ░ │             ││             │»\n",
+      "«   q_4: ┤4             ├┤4             ├─░─┤4            ├┤4            ├»\n",
+      "«        │              ││              │ ░ │             ││             │»\n",
+      "«   q_5: ┤5             ├┤5             ├─░─┤5            ├┤5            ├»\n",
+      "«        └──────────────┘└──────────────┘ ░ └─────────────┘└─────────────┘»\n",
+      "«meas: 6/═════════════════════════════════════════════════════════════════»\n",
+      "«                                                                         »\n",
+      "«        ┌─────────────┐┌─────────────┐┌─────────────┐ ░  ░ ┌─┐               \n",
+      "«   q_0: ┤0            ├┤0            ├┤0            ├─░──░─┤M├───────────────\n",
+      "«        │             ││             ││             │ ░  ░ └╥┘┌─┐            \n",
+      "«   q_1: ┤1            ├┤1            ├┤1            ├─░──░──╫─┤M├────────────\n",
+      "«        │             ││             ││             │ ░  ░  ║ └╥┘┌─┐         \n",
+      "«   q_2: ┤2            ├┤2            ├┤2            ├─░──░──╫──╫─┤M├─────────\n",
+      "«        │  e^iHt(0.2) ││  e^iHt(0.2) ││  e^iHt(0.2) │ ░  ░  ║  ║ └╥┘┌─┐      \n",
+      "«   q_3: ┤3            ├┤3            ├┤3            ├─░──░──╫──╫──╫─┤M├──────\n",
+      "«        │             ││             ││             │ ░  ░  ║  ║  ║ └╥┘┌─┐   \n",
+      "«   q_4: ┤4            ├┤4            ├┤4            ├─░──░──╫──╫──╫──╫─┤M├───\n",
+      "«        │             ││             ││             │ ░  ░  ║  ║  ║  ║ └╥┘┌─┐\n",
+      "«   q_5: ┤5            ├┤5            ├┤5            ├─░──░──╫──╫──╫──╫──╫─┤M├\n",
+      "«        └─────────────┘└─────────────┘└─────────────┘ ░  ░  ║  ║  ║  ║  ║ └╥┘\n",
+      "«meas: 6/════════════════════════════════════════════════════╩══╩══╩══╩══╩══╩═\n",
+      "«                                                            0  1  2  3  4  5 \n",
+      "  Initial State Neele:\n",
+      "     ┌───┐\n",
+      "q_0: ┤ X ├\n",
+      "     └───┘\n",
+      "q_1: ─────\n",
+      "     ┌───┐\n",
+      "q_2: ┤ X ├\n",
+      "     └───┘\n",
+      "q_3: ─────\n",
+      "     ┌───┐\n",
+      "q_4: ┤ X ├\n",
+      "     └───┘\n",
+      "q_5: ─────\n",
+      "          \n",
+      "  Evolution Operator (e^-iHt) =\n",
+      "                                                                         »\n",
+      "q_0: ────────────────────────────────────────────────────────────────────»\n",
+      "                                              ┌───┐┌──────────┐┌───┐     »\n",
+      "q_1: ─────────────────────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
+      "                       ┌───┐┌───────────┐┌───┐└─┬─┘└──────────┘└─┬─┘     »\n",
+      "q_2: ──────────────────┤ X ├┤ Rz(-0.05) ├┤ X ├──┼────────────────┼───────»\n",
+      "                       └─┬─┘└───────────┘└─┬─┘  │                │       »\n",
+      "q_3: ────────────────────┼─────────────────┼────┼────────────────┼───────»\n",
+      "                  ┌───┐  │                 │    │                │  ┌───┐»\n",
+      "q_4: ─────────────┤ X ├──■─────────────────■────■────────────────■──┤ X ├»\n",
+      "     ┌───────────┐└─┬─┘                                             └─┬─┘»\n",
+      "q_5: ┤ Rz(-0.05) ├──■─────────────────────────────────────────────────■──»\n",
+      "     └───────────┘                                                       »\n",
+      "«                                                                      »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
+      "«                                           ┌───┐┌──────────┐┌───┐     »\n",
+      "«q_1: ──────────────────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
+      "«                                      ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
+      "«q_2: ─■───────────────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
+      "«      │                               └─┬─┘┌───┐                 └─┬─┘»\n",
+      "«q_3: ─┼──────────────────────■──────────┼──┤ X ├───────────────────┼──»\n",
+      "«      │        ┌───────────┐ │ZZ(0.1)   │  └─┬─┘                   │  »\n",
+      "«q_4: ─┼────────┤ Rz(-0.05) ├─■──────────┼────■─────────────────────┼──»\n",
+      "«      │ZZ(0.1) └───────────┘            │                          │  »\n",
+      "«q_5: ─■─────────────────────────────────■──────────────────────────■──»\n",
+      "«                                                                      »\n",
+      "«                                     ┌───┐┌───────────┐┌───┐                »\n",
+      "«q_0: ────────────────────────────────┤ X ├┤ Rz(-0.05) ├┤ X ├────────────────»\n",
+      "«                                     └─┬─┘└───────────┘└─┬─┘                »\n",
+      "«q_1: ─■────────────────────────────────┼─────────────────┼──────────────────»\n",
+      "«      │        ┌───┐┌──────────┐┌───┐  │                 │                  »\n",
+      "«q_2: ─┼────────┤ X ├┤ Rz(0.05) ├┤ X ├──┼─────────────────┼────────■─────────»\n",
+      "«      │        └─┬─┘└──────────┘└─┬─┘  │                 │  ┌───┐ │         »\n",
+      "«q_3: ─┼──────────■────────────────■────■─────────────────■──┤ X ├─┼─────────»\n",
+      "«      │                                                     └─┬─┘ │ZZ(-0.1) »\n",
+      "«q_4: ─┼───────────────────────────────────────────────────────■───■─────────»\n",
+      "«      │ZZ(0.1)                                                              »\n",
+      "«q_5: ─■─────────────────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«                          ┌───┐    ┌───────────┐┌───┐               »\n",
+      "«q_0: ─────────────────────┤ X ├────┤ Rz(-0.05) ├┤ X ├──────■────────»\n",
+      "«                 ┌───┐    └─┬─┘    └───────────┘└─┬─┘┌───┐ │        »\n",
+      "«q_1: ────────────┤ X ├──────■─────────────────────■──┤ X ├─┼────────»\n",
+      "«                 └─┬─┘┌───────────┐                  └─┬─┘ │        »\n",
+      "«q_2: ─■────────────┼──┤ Rz(-0.15) ├────────────────────┼───┼────────»\n",
+      "«      │ZZ(-0.05)   │  └───────────┘                    │   │        »\n",
+      "«q_3: ─■────────────┼───────────────────────────────────┼───┼────────»\n",
+      "«                   │                                   │   │ZZ(0.1) »\n",
+      "«q_4: ──────────────■───────────────────────────────────■───■────────»\n",
+      "«                                                                    »\n",
+      "«q_5: ───────────────────────────────────────────────────────────────»\n",
+      "«                                                                    »\n",
+      "«                                                               ┌─────────┐\n",
+      "«q_0: ─────────────■────────────────────────■─────────■─────────┤ Rz(0.3) ├\n",
+      "«                  │          ┌───────────┐ │         │ZZ(0.05) └─────────┘\n",
+      "«q_1: ─■───────────┼──────────┤ Rz(-0.05) ├─┼─────────■────────────────────\n",
+      "«      │ZZ(-0.15)  │          └───────────┘ │ZZ(0.1)                       \n",
+      "«q_2: ─■───────────┼────────────────────────■──────────────────────────────\n",
+      "«                  │ZZ(-0.05)                                              \n",
+      "«q_3: ─────────────■───────────────────────────────────────────────────────\n",
+      "«                                                                          \n",
+      "«q_4: ─────────────────────────────────────────────────────────────────────\n",
+      "«                                                                          \n",
+      "«q_5: ─────────────────────────────────────────────────────────────────────\n",
+      "«                                                                          \n",
+      "  Inverse Evolution Operator (e^iHt) = Inverse of Above Circuit\n",
+      "     ┌──────────┐                                                         »\n",
+      "q_0: ┤ Rz(-0.3) ├─■───────────────────────■─────────────────────■─────────»\n",
+      "     └──────────┘ │ZZ(-0.05) ┌──────────┐ │                     │         »\n",
+      "q_1: ─────────────■──────────┤ Rz(0.05) ├─┼──────────■──────────┼─────────»\n",
+      "                             └──────────┘ │ZZ(-0.1)  │ZZ(0.15)  │         »\n",
+      "q_2: ─────────────────────────────────────■──────────■──────────┼─────────»\n",
+      "                                                                │ZZ(0.05) »\n",
+      "q_3: ───────────────────────────────────────────────────────────■─────────»\n",
+      "                                                                          »\n",
+      "q_4: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "q_5: ─────────────────────────────────────────────────────────────────────»\n",
+      "                                                                          »\n",
+      "«                                            ┌───┐┌──────────┐┌───┐     »\n",
+      "«q_0: ─────────────■─────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├─────»\n",
+      "«                  │                    ┌───┐└─┬─┘└──────────┘└─┬─┘┌───┐»\n",
+      "«q_1: ─────────────┼────────────────────┤ X ├──■────────────────■──┤ X ├»\n",
+      "«     ┌──────────┐ │                    └─┬─┘                      └─┬─┘»\n",
+      "«q_2: ┤ Rz(0.15) ├─┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«     └──────────┘ │          │ZZ(0.05)   │                          │  »\n",
+      "«q_3: ─────────────┼──────────■───────────┼──────────────────────────┼──»\n",
+      "«                  │ZZ(-0.1)              │                          │  »\n",
+      "«q_4: ─────────────■──────────────────────■──────────────────────────■──»\n",
+      "«                                                                       »\n",
+      "«q_5: ──────────────────────────────────────────────────────────────────»\n",
+      "«                                                                       »\n",
+      "«                               ┌───┐┌──────────┐┌───┐                       »\n",
+      "«q_0: ──────────────────────────┤ X ├┤ Rz(0.05) ├┤ X ├───────────────────────»\n",
+      "«                               └─┬─┘└──────────┘└─┬─┘                       »\n",
+      "«q_1: ───────────■────────────────┼────────────────┼─────────────────────────»\n",
+      "«                │                │                │  ┌───┐┌───────────┐┌───┐»\n",
+      "«q_2: ─■─────────┼────────────────┼────────────────┼──┤ X ├┤ Rz(-0.05) ├┤ X ├»\n",
+      "«      │         │         ┌───┐  │                │  └─┬─┘└───────────┘└─┬─┘»\n",
+      "«q_3: ─┼─────────┼─────────┤ X ├──■────────────────■────■─────────────────■──»\n",
+      "«      │ZZ(0.1)  │         └─┬─┘                                             »\n",
+      "«q_4: ─■─────────┼───────────■───────────────────────────────────────────────»\n",
+      "«                │ZZ(-0.1)                                                   »\n",
+      "«q_5: ───────────■───────────────────────────────────────────────────────────»\n",
+      "«                                                                            »\n",
+      "«                                                                      »\n",
+      "«q_0: ─────────────────────────────────────────────────────────────────»\n",
+      "«                  ┌───┐   ┌───────────┐┌───┐                     ┌───┐»\n",
+      "«q_1: ─────────────┤ X ├───┤ Rz(-0.05) ├┤ X ├─────────────────────┤ X ├»\n",
+      "«          ┌───┐   └─┬─┘   └───────────┘└─┬─┘┌───┐                └─┬─┘»\n",
+      "«q_2: ─────┤ X ├─────■────────────────────■──┤ X ├─■────────────────┼──»\n",
+      "«     ┌───┐└─┬─┘                             └─┬─┘ │                │  »\n",
+      "«q_3: ┤ X ├──┼───■─────────────────────────────┼───┼────────────────┼──»\n",
+      "«     └─┬─┘  │   │ZZ(-0.1)  ┌──────────┐       │   │         ┌───┐  │  »\n",
+      "«q_4: ──■────┼───■──────────┤ Rz(0.05) ├───────┼───┼─────────┤ X ├──■──»\n",
+      "«            │              └──────────┘       │   │ZZ(-0.1) └─┬─┘     »\n",
+      "«q_5: ───────■─────────────────────────────────■───■───────────■───────»\n",
+      "«                                                                      »\n",
+      "«                                                              \n",
+      "«q_0: ─────────────────────────────────────────────────────────\n",
+      "«     ┌───────────┐┌───┐                                       \n",
+      "«q_1: ┤ Rz(-0.05) ├┤ X ├───────────────────────────────────────\n",
+      "«     └───────────┘└─┬─┘┌───┐┌──────────┐┌───┐                 \n",
+      "«q_2: ───────────────┼──┤ X ├┤ Rz(0.05) ├┤ X ├─────────────────\n",
+      "«                    │  └─┬─┘└──────────┘└─┬─┘                 \n",
+      "«q_3: ───────────────┼────┼────────────────┼───────────────────\n",
+      "«                    │    │                │  ┌───┐            \n",
+      "«q_4: ───────────────■────■────────────────■──┤ X ├────────────\n",
+      "«                                             └─┬─┘┌──────────┐\n",
+      "«q_5: ──────────────────────────────────────────■──┤ Rz(0.05) ├\n",
+      "«                                                  └──────────┘\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x1025 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 680x451.818 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(1, \"hamlib/qiskit\")\n",
+    "# exec_options = {\"noise_model\" : None}\n",
+    "\n",
+    "# Set the hamiltonian_name: 'TFIM', 'Fermi-Hubbard-1D', 'Bose-Hubbard-1D', 'Heisenberg' or 'Max3Sat'\n",
+    "hamiltonian_name = 'Max3Sat'\n",
+    "hamlib_simulation_kernel.global_ratio = 2\n",
+    "hamlib_simulation_kernel.global_rinst = '02'\n",
+    "\n",
+    "hamlib_simulation_benchmark.run(min_qubits=min_qubits, max_qubits=max_qubits, skip_qubits=skip_qubits,\n",
+    "                max_circuits=max_circuits, num_shots=num_shots,\n",
+    "                method=3, hamiltonian = hamiltonian_name, do_sqrt_fidelity = True,\n",
+    "                backend_id=backend_id, provider_backend=provider_backend,\n",
+    "                hub=hub, group=group, project=project, exec_options=exec_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Combined Benchmark Results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 680x451.818 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "sys.path.insert(1, \"_common\")\n",
+    "import metrics\n",
+    "\n",
+    "# metrics.depth_base = 2\n",
+    "# metrics.QV = 0\n",
+    "# apps = [ \"Hidden Shift\", \"Grover's Search\", \"Quantum Fourier Transform (1)\", \"Hamiltonian Simulation\" ]\n",
+    "# backend_id='qasm_simulator'\n",
+    "\n",
+    "metrics.plot_all_app_metrics(backend_id, do_all_plots=False, include_apps=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   ┌─────────────────┐\n",
+      "q: ┤ exp(-it Z)(0.4) ├\n",
+      "   └─────────────────┘\n"
+     ]
+    }
+   ],
+   "source": [
+    "from qiskit import QuantumCircuit\n",
+    "from qiskit.quantum_info import Pauli\n",
+    "from qiskit.circuit.library import PauliEvolutionGate\n",
+    "\n",
+    "# Define parameters\n",
+    "omega = 1.0  # Example coefficient\n",
+    "pauli_operator = Pauli('Z')  # Example Pauli operator (Z in this case)\n",
+    "t = 0.4  # Time parameter\n",
+    "\n",
+    "# Create Pauli evolution gate\n",
+    "gate = PauliEvolutionGate(pauli_operator, omega * t)\n",
+    "\n",
+    "# Create a quantum circuit\n",
+    "qc = QuantumCircuit(1)\n",
+    "qc.append(gate, [0])\n",
+    "\n",
+    "# Print the quantum circuit using draw()\n",
+    "print(qc.draw())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "import qiskit\n",
+    "print(qiskit.__version__)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/hamlib/qiskit/hamlib_simulation_benchmark.py b/hamlib/qiskit/hamlib_simulation_benchmark.py
index 54601030..0c707299 100644
--- a/hamlib/qiskit/hamlib_simulation_benchmark.py
+++ b/hamlib/qiskit/hamlib_simulation_benchmark.py
@@ -244,21 +244,42 @@ def run(min_qubits: int = 2, max_qubits: int = 8, max_circuits: int = 1,
     Execute program with default parameters.
 
     Args:
-        min_qubits (int): Minimum number of qubits (smallest circuit is 2 qubits).
-        max_qubits (int): Maximum number of qubits.
+        min_qubits (int): Minimum number of qubits for the simulation. 
+                          The smallest circuit is 2 qubits.
+        max_qubits (int): Maximum number of qubits for the simulation.
         max_circuits (int): Maximum number of circuits to execute per group.
-        skip_qubits (int): Increment of number of qubits.
-        num_shots (int): Number of shots for each circuit execution.
-        backend_id (str): Backend identifier for execution.
-        provider_backend: Provider backend instance.
-        hub (str): IBM Quantum hub.
-        group (str): IBM Quantum group.
-        project (str): IBM Quantum project.
-        exec_options: Execution options.
-
-        hamiltonian (str): Which hamiltonian to run. "heisenberg" by default but can also choose "TFIM". 
-        method (int): Method for fidelity checking (1 for noiseless trotterized quantum, 2 for exact classical), 3 for mirror circuit.
-        context: Execution context.
+        skip_qubits (int): Increment of number of qubits between simulations.
+        num_shots (int): Number of measurement shots for each circuit execution.
+        hamiltonian (str): The type of Hamiltonian to simulate. Default is "tfim".
+                           Options include:
+                           - "tfim": Transverse Field Ising Model.
+                           - "heis": Heisenberg model.
+                           - "random_max3sat-hams": Random Max 3-SAT Hamiltonians for binary optimization problems.
+                           - "FH_D-1": Fermi-Hubbard model in 1D
+                           - "BH_D-1_d-4": Bose-Hubbard model in 1D
+        method (int): Method for fidelity checking. 
+                      Options include:
+                      - 1: Noiseless Trotterized Quantum Simulation.
+                      - 2: Exact Classical Simulation.
+                      - 3: Mirror Circuit Simulation using Sandia Labs' method.
+        random_pauli_flag (bool): If True and method is 3, activates random Pauli gates in the circuit.
+        random_init_flag (bool): If True, initializes random quantum states. 
+                                 Only active if random_pauli_flag is True and method is 3.
+        use_inverse_flag (bool): If True, uses the inverse of the quantum circuit rather than the original circuit.
+        do_sqrt_fidelity (bool): If True, computes the square root of the fidelity for measurement results.
+        init_state (str): Specifies the initial state for the quantum circuit. 
+                          If None, a default state is used.
+        K (int): Number of Trotter steps for the simulation. 
+                 This is a crucial parameter for the precision of the Trotterized simulation.
+        t (float): Total simulation time. This parameter is used to determine the evolution time for the Hamiltonian.
+        backend_id (str): Backend identifier for execution on a quantum processor.
+        provider_backend: Provider backend instance for advanced execution settings.
+        hub (str): IBM Quantum hub identifier. Default is "ibm-q".
+        group (str): IBM Quantum group identifier. Default is "open".
+        project (str): IBM Quantum project identifier. Default is "main".
+        exec_options: Additional execution options, such as optimization levels or custom settings.
+        context: Execution context for running the simulation, such as cloud or local settings.
+        api: API settings or credentials for accessing quantum computing resources.
 
     Returns:
         None