NeuMC -- a package for neural sampling for lattice field theories

Piotr Bialas, Piotr Korcyl, Tomasz Stebel, Dawid Zapolski
3/14/2025
hep-latcs.LG

No official code found. Best implementation: nmcmc/neumc (7 stars, last commit 2025-10-22).

Abstract

We present the \texttt{NeuMC} software package, based on \pytorch, aimed at facilitating the research on neural samplers in lattice field theories. Neural samplers based on normalizing flows are becoming increasingly popular in the context of Monte-Carlo simulations as they can effectively approximate target probability distributions, possibly alleviating some shortcomings of the Markov chain Monte-Carlo methods. Our package provides tools to create such samplers for two-dimensional field theories.

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nmcmc/neumcCommunity100%
72PythonJan 21, 202512 months ago

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Cite this paper

@article{bialas2025neumc,
  title  = {NeuMC -- a package for neural sampling for lattice field theories},
  author = {Piotr Bialas and Piotr Korcyl and Tomasz Stebel and Dawid Zapolski},
  year   = {2025},
  eprint = {2503.11482},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2503.11482v1}
}

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