Parameter-Shift Rule using Qiskit

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The paper we followed is written by Gavin E. Crooks : Gradients of parameterized quantum gates using the parameter-shift rule and gate decomposition

Prerequisities

See requirement.txt or

pip install -r requirements.txt

Run code

The main code is written in simulation.ipynb and the result will be saved in result_npy. Data with 128 and 1024 shots have already be saved. To load the trained parameters and record from npy files, try

np.load('some_file.npy', allow_pickle=True)

Note that it is important to use allow_pickle=True since we're going to load a dict file.

To get the plot of the result, see plot_result.ipynb