diff --git a/_modules/tencirchem/static/hea.html b/_modules/tencirchem/static/hea.html index 2d8a90e..f260e09 100644 --- a/_modules/tencirchem/static/hea.html +++ b/_modules/tencirchem/static/hea.html @@ -247,6 +247,7 @@

Source code for tencirchem.static.hea

 from tensorcircuit.noisemodel import NoiseConf, circuit_with_noise
 
 from tencirchem.static.engine_hea import (
+    QpuConf,
     get_statevector,
     get_densitymatrix,
     get_energy_tensornetwork,
@@ -652,7 +653,7 @@ 
Source code for tencirchem.static.hea
         circuit: Union[Callable, QuantumCircuit],
         init_guess: Union[List[float], np.ndarray],
         engine: str = None,
-        engine_conf: NoiseConf = None,
+        engine_conf: [NoiseConf, QpuConf] = None,
     ):
         """
         Construct the HEA class from Hamiltonian in :class:`QubitOperator` form and the ansatz.
@@ -679,8 +680,11 @@ 
Source code for tencirchem.static.hea
             engine = "tensornetwork"
         if engine == "tensornetwork" and engine_conf is not None:
             raise ValueError("Tensornetwork engine does not have engine configuration")
-        if engine.startswith("tensornetwork-noise") and engine_conf is None:
-            engine_conf = get_noise_conf()
+        if engine_conf is None:
+            if engine.startswith("tensornetwork-noise"):
+                engine_conf = get_noise_conf()
+            if engine.startswith("qpu"):
+                engine_conf = QpuConf()
 
         init_guess = np.array(init_guess)
 
@@ -954,6 +958,7 @@ 
Source code for tencirchem.static.hea
                 tuple(self.h_qubit_op.terms.keys()),
                 list(self.h_qubit_op.terms.values()),
                 self.get_circuit,
+                self.engine_conf,
                 self.shots,
             )
         return e

diff --git a/api/hea.html b/api/hea.html
index 59bebb1..c2b87fb 100644
--- a/api/hea.html
+++ b/api/hea.html
@@ -219,13 +219,13 @@
 
Headware-Efficient Ansatz and Noisy Circuit Simulation#

 

 

-class tencirchem.HEA(h_qubit_op: QubitOperator, circuit: Callable | QuantumCircuit, init_guess: List[float] | ndarray, engine: str | None = None, engine_conf: NoiseConf | None = None)[source]#

+class tencirchem.HEA(h_qubit_op: ~openfermion.ops.operators.qubit_operator.QubitOperator, circuit: ~typing.Callable | ~qiskit.circuit.quantumcircuit.QuantumCircuit, init_guess: ~typing.List[float] | ~numpy.ndarray, engine: str = None, engine_conf: [<class 'tensorcircuit.noisemodel.NoiseConf'>, <class 'tencirchem.static.engine_hea.QpuConf'>] = None)[source]#
 
Bases: object

 
Run hardware-efficient ansatz calculation.
 For a comprehensive tutorial see Noisy Circuit Simulation.

 

 

-__init__(h_qubit_op: QubitOperator, circuit: Callable | QuantumCircuit, init_guess: List[float] | ndarray, engine: str | None = None, engine_conf: NoiseConf | None = None)[source]#

+__init__(h_qubit_op: ~openfermion.ops.operators.qubit_operator.QubitOperator, circuit: ~typing.Callable | ~qiskit.circuit.quantumcircuit.QuantumCircuit, init_guess: ~typing.List[float] | ~numpy.ndarray, engine: str = None, engine_conf: [<class 'tensorcircuit.noisemodel.NoiseConf'>, <class 'tencirchem.static.engine_hea.QpuConf'>] = None)[source]#
 
Construct the HEA class from Hamiltonian in QubitOperator form and the ansatz.

 

 
Parameters:

diff --git a/searchindex.js b/searchindex.js
index 1ec1cd0..93743be 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["advanced", "api/hea", "api/kupccgsd", "api/puccd", "api/ucc", "api/uccsd", "faq", "index", "modules", "quickstart", "tutorial_jupyter/adapt_vqe", "tutorial_jupyter/engine_benchmark", "tutorial_jupyter/h2o_pes", "tutorial_jupyter/hubbard_model", "tutorial_jupyter/marcus", "tutorial_jupyter/noisy_simulation", "tutorial_jupyter/sbm_dynamics", "tutorial_jupyter/ucc_functions", "tutorial_jupyter/vbe_tutorial_groundstate", "tutorial_jupyter/vbe_tutorial_td", "tutorials"], "filenames": ["advanced.rst", "api/hea.rst", "api/kupccgsd.rst", "api/puccd.rst", "api/ucc.rst", "api/uccsd.rst", "faq.rst", "index.rst", "modules.rst", "quickstart.rst", "tutorial_jupyter/adapt_vqe.ipynb", "tutorial_jupyter/engine_benchmark.ipynb", "tutorial_jupyter/h2o_pes.ipynb", "tutorial_jupyter/hubbard_model.ipynb", "tutorial_jupyter/marcus.ipynb", "tutorial_jupyter/noisy_simulation.ipynb", "tutorial_jupyter/sbm_dynamics.ipynb", "tutorial_jupyter/ucc_functions.ipynb", 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\ No newline at end of file
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\ No newline at end of file