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SUMMARY:CASK: A Gauge Covariant Transformer for Lattice Gauge Theory - Aki
 o Tomiya (Tokyo Woman's Christian University)
DTSTART:20250326T151500Z
DTEND:20250326T154500Z
UID:TALK229651@talks.cam.ac.uk
CONTACT:Sven Krippendorf
DESCRIPTION:We introduce a Transformer architecture for lattice QCD that i
 s designed to respect the gauge symmetry and the discrete rotational and t
 ranslational symmetries of the lattice. The core innovation lies in defini
 ng the attention matrix via a Frobenius inner product between link variabl
 es and extended staples\, ensuring gauge covariance. We apply this method 
 to self-learning HMC and find that it surpasses existing gauge covariant n
 eural networks in performance\, demonstrating its potential to enhance lat
 tice QCD computations. This talk is based on https://arxiv.org/abs/2501.16
 955 
LOCATION:DAMTP\, MR11
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