Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability"

This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". We numerically simulate the bias of noisy probabilistic error cancellation with noisy Pauli operations and the bias of error model violation.Codes are written in Python, which is contained in the folder "code". Folder "data" contains the data of the simulation, where data supporting Fig.3 and Fig.4 of the paper "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" are stored in the folder "data/Fig.3" and "data/Fig.4", respectively.

本数据集收录了论文《噪声概率误差抵消与广义物理可实现性（Noisy Probabilistic Error Cancellation and Generalized Physical Implementability）》的配套实验数据与代码。我们针对搭载噪声泡利（Pauli）操作的噪声概率误差抵消场景，以及误差模型违背场景，分别开展数值模拟以计算二者的偏差。本次实验代码采用Python语言编写，存放在"code"文件夹中。"data"文件夹存储本次数值模拟的全部实验数据，其中支撑该论文图3与图4的数据集，分别存放于"data/Fig.3"与"data/Fig.4"子文件夹内。