This repository includes the codes for the manuscript: Training variational quantum algorithms with random gate activation.
This project uses Tensorcircuit. For the nightly build of tensorcircuit with new features, try:
pip uninstall tensorcircuit
pip install tensorcircuit-nightly-
codes: contains python codes for different training strategies and ansatzes.
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ansatz: contains diagrams of Hamiltonian variational ansatz (HVA) and Hardware-efficient ansatz (HEA).
@article{liu2023training,
title={Training variational quantum algorithms with random gate activation},
author={Liu, Shuo and Zhang, Shi-Xin and Jian, Shao-Kai and Yao, Hong},
journal={arXiv preprint arXiv:2303.08154},
year={2023}
}