Neural Network Gauge Field Transformation for 4D SU(3) gauge fields
Pre-published on:
October 11, 2024
Published on:
November 06, 2024
Abstract
We construct neural networks that work for any Lie group and maintain
gauge covariance, enabling smooth, invertible gauge field transformations.
We implement these transformations for 4D SU(3) lattice gauge fields
and explore their use in HMC.
We focus on developing loss functions and optimizing the transformations.
We show the effects on HMC's molecular dynamics and discuss
the scalability of the approach.
DOI: https://doi.org/10.22323/1.453.0040
How to cite
Metadata are provided both in
article format (very
similar to INSPIRE)
as this helps creating very compact bibliographies which
can be beneficial to authors and readers, and in
proceeding format which
is more detailed and complete.