Emergent Mind
Sampling using $SU(N)$ gauge equivariant flows
(2008.05456)
Published Aug 12, 2020
in
hep-lat
,
cs.LG
,
and
stat.ML
Abstract
We develop a flow-based sampling algorithm for $SU(N)$ lattice gauge theories that is gauge-invariant by construction. Our key contribution is constructing a class of flows on an $SU(N)$ variable (or on a $U(N)$ variable by a simple alternative) that respect matrix conjugation symmetry. We apply this technique to sample distributions of single $SU(N)$ variables and to construct flow-based samplers for $SU(2)$ and $SU(3)$ lattice gauge theory in two dimensions.
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