Code for Paper "Resource Efficient Boolean Function Solver on Quantum Computer"

See arXiv 2310.05013

Code Structure

• .ipynb files are the Jupyter notebooks for the figures.
• .py in the root directory are the main functions and classes.
• .py in the scripts folder stores the scripts for running the experiments and saving the result to the output folder.
  • temporary outputs are stored in pickle format.

Example Equations

An example set of equations are provided in the output folder. The equations are stored in the csv format for cross-version compatibility.

Convert to pickle format that suits your Python/pickle version:

import pandas as pd
import numpy as np
import pickle

eqs_df = pd.read_csv("output/eqs.csv", index_col=0)
eqs_df.eqs = eqs_df.eqs.apply(lambda x: [np.array(i) for i in eval(x)])
eqs_df.sol = eqs_df.sol.apply(lambda x: eval(x))
with open("output/eqs.pkl", "wb") as f:
    pickle.dump(eqs_df, f)