We collect data for the bosonic matrix model with 2 matrices and gauge group SU(2). The results are reported in the publication Rinaldi et al. (2021). Consider the citation in Cite.
You can install the dependencies for the scripts and the notebooks using conda
conda env create -f environment.yml
Check that the lattice-fits
environment has been created and then activate it
conda env list
conda activate lattice-fits
The scripts rely on the presence of lattice data in an external folder.
The data is collected by scripts/gather_data.py in various HDF5
files and they will be provided as an archive upon publication of the paper.
Figures and tables of the processed lattice data can be found online on the paper's supplementary material website. Check out the Lattice Monte Carlo section.
If you use this code (or parts of it), please consider citing our paper:
@article{Rinaldi:2021jbg,
author = "Rinaldi, Enrico and Han, Xizhi and Hassan, Mohammad and Feng, Yuan and Nori, Franco and McGuigan, Michael and Hanada, Masanori",
title = "{Matrix-Model Simulations Using Quantum Computing, Deep Learning, and Lattice Monte Carlo}",
eprint = "2108.02942",
archivePrefix = "arXiv",
primaryClass = "quant-ph",
reportNumber = "RIKEN-iTHEMS-Report-21, DMUS-MP-21/10",
doi = "10.1103/PRXQuantum.3.010324",
journal = "PRX Quantum",
volume = "3",
number = "1",
pages = "010324",
year = "2022"
}