Scalable Randomized Benchmarking of Quantum Computers using Mirror Circuits

This is supplemental data and code for: T. Proctor et al., <em>Scalable randomized benchmarking of quantum computers using mirror circuits, </em>arXiv 2112.09853 (2021). This folder contains all the data and the analysis code to generate the results presented in that paper. The core data analysis routines use PyGSTi, which can be found at https://github.com/pyGSTio/pyGSTi. Please direct any questions to Timothy Proctor ([e-mail]).本数据集为T. Proctor等人于2021年发布在arXiv预印本编号2112.09853的论文《使用镜像电路实现量子计算机的可扩展随机基准测试（Scalable randomized benchmarking of quantum computers using mirror circuits）》的补充数据与代码。本文件夹包含复现该论文所述全部结果所需的数据与分析代码。核心数据分析例程基于PyGSTi开发，该工具的开源仓库地址为https://github.com/pyGSTio/pyGSTi。如有任何疑问，请联系Timothy Proctor（邮箱：[e-mail]）。