Data and code to generate plots for Post-measurement Quantum Monte Carlo

# Data repository for publication "Post-measurement Quantum Monte Carlo" by Kriti Baweja, David J. Luitz, Samuel J. Garratt This repository contains the raw data and python codes to create the figures of the publication Post-measurement Quantum Monte CarloKriti Baweja, David J. Luitz, Samuel J. Garratt arXiv:2410.13844 https://arxiv.org/abs/2410.13844 Please cite this dataset if you use any of the code or data for future work. The raw data is in standard HDF5 format, you can inspect the files using h5dump. From python, the files are read using the h5py module, which you need to install.Each HDF5 file contains a attribute called 'description' which contains the details about the parameter and set-up used for the simulation to check the 'description' for any file "File.attrs.get()" can be used in python. You can run the plotting scripts using> python3 Figure_6.py The dataset also contains a plotting library figures_module.py which is used in plotting scripts. Here is a list of files and folders included in this data bundle: Figure_6.hdf5Figure_7_data/Figure_8_data/Figure_11_data/Figure_12_data/Figure_13_data/Figure_14_data/Figure_6.pyFigure_7.pyFigure_8.pyFigure_11.pyFigure_12.pyFigure_13.pyFigure_14.pyFigure_17.hdf5Figure_17.pyFigure_19_upper_column.pyFigure_19_lower_column.pyfigures_module.pyReadme.txt