arxiv:2312.08936

MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory

Published on Dec 14, 2023

Authors:

Sam Foreman ,

Abstract

We present a trainable framework for efficiently generating gauge configurations, and discuss ongoing work in this direction. In particular, we consider the problem of sampling configurations from a 4D SU(3) lattice gauge theory, and consider a generalized leapfrog integrator in the molecular dynamics update that can be trained to improve sampling efficiency. Code is available online at https://github.com/saforem2/l2hmc-qcd.

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