PoS - Proceedings of Science
Volume 453 - The 40th International Symposium on Lattice Field Theory (LATTICE2023) - Algorithms and Artificial Intelligence
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory
S.ย Foreman*, X.y.ย Jin and J.C.ย Osborn
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Pre-published on: December 27, 2023
Published on: โ€”
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 ๐‘†๐‘ˆ(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.
DOI: https://doi.org/10.22323/1.453.0036
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