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