Overview

This repository includes the codes for the manuscript: Training variational quantum algorithms with random gate activation.

Installation and usage

This project uses Tensorcircuit. For the nightly build of tensorcircuit with new features, try:

pip uninstall tensorcircuit
pip install tensorcircuit-nightly

Folders

• codes: contains python codes for different training strategies and ansatzes.

• ansatz: contains diagrams of Hamiltonian variational ansatz (HVA) and Hardware-efficient ansatz (HEA).

Please cite us as

@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}
}