Dataset and scripts to generate figures of:"Random matrix perspective on probabilistic error cancellation"

# Data repository for "Random matrix perspective on probabilistic error cancellation" by Leonhard Moske, Pedro Ribeiro, Tomaž Prosen, Sergiy Denysov, Karol Życzkowski and David J. Luitz This repository contains the data and the plotting scripts used to generate the figures in "Random matrix perspective on probabilistic error cancellation" (arxiv:2512.01957v1). Please cite this dataset if you use any of the code or data for future work. All the data used in the various figures is stored in denoiser_data.hdf5.It is sored in the HDF5 format, which can be read using the h5py package in Python.The names of the groups in the HDF5 file correspond to the parameters used in the simulations. To generate all figures run ```bashpython */plot.py```in the root directory. Here is a table of the figure in the paper and the prefix number of the corresponding directory: Figure in the paper : Directory Fig. 2: 01 Fig. 3: 11 Fig. 4: 12 Fig. 5: 05 Fig. 6 :03 Fig. 7 :04 Fig. 8 :06 Fig. 9 :14 Fig. 10:13 Fig. 11: 15 Fig. 12 : 04 ## RequirementsThe code requires installed packages:- numpy- matplotlib- h5py- sys# 《随机矩阵视角下的概率误差消除》（Random matrix perspective on probabilistic error cancellation）数据集仓库，作者团队包括Leonhard Moske、Pedro Ribeiro、Tomaž Prosen、Sergiy Denysov、Karol Życzkowski 与 David J. Luitz 本仓库收录了用于生成论文《随机矩阵视角下的概率误差消除》（Random matrix perspective on probabilistic error cancellation，arxiv:2512.01957v1）中全部图表的数据与绘图脚本。 若您在后续研究中使用本仓库的代码或数据，请务必引用本数据集。 所有用于生成各图表的原始数据均存储于denoiser_data.hdf5文件中，该文件采用HDF5格式，可通过Python的h5py库读取。HDF5文件内的组名与仿真实验中使用的参数一一对应。 若需生成全部图表，请在仓库根目录下运行以下命令： bash python */plot.py 以下为论文图表与对应目录前缀的对照表： | 论文中的图表 | 对应目录 | | :---: | :---: | | 图2 | 01 | | 图3 | 11 | | 图4 | 12 | | 图5 | 05 | | 图6 | 03 | | 图7 | 04 | | 图8 | 06 | | 图9 | 14 | | 图10 | 13 | | 图11 | 15 | | 图12 | 04 | ## 依赖要求 本代码运行前需提前安装以下Python依赖包： - numpy - matplotlib - h5py - sys