Sampling using $SU(N)$ gauge equivariant flows
Denis Boyda, Gurtej Kanwar, S\'ebastien Racani\`ere, Danilo Jimenez, Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E., Shanahan

TL;DR
This paper introduces a gauge-invariant flow-based sampling algorithm for $SU(N)$ lattice gauge theories, enabling efficient and symmetry-respecting sampling of gauge variables, demonstrated on $SU(2)$ and $SU(3)$ in two dimensions.
Contribution
The authors develop a novel class of gauge-equivariant flows on $SU(N)$ variables, ensuring gauge invariance by construction, and apply it to lattice gauge theory sampling.
Findings
Successfully sampled $SU(2)$ and $SU(3)$ gauge theories in two dimensions.
Constructed gauge-equivariant flows respecting matrix conjugation symmetry.
Demonstrated gauge-invariant sampling without explicit gauge fixing.
Abstract
We develop a flow-based sampling algorithm for lattice gauge theories that is gauge-invariant by construction. Our key contribution is constructing a class of flows on an variable (or on a variable by a simple alternative) that respect matrix conjugation symmetry. We apply this technique to sample distributions of single variables and to construct flow-based samplers for and lattice gauge theory in two dimensions.
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