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MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory

Jul 31, 2023, 1:50 PM
Ramsey Auditorium

Ramsey Auditorium


Dr Sam Foreman (Argonne National Laboratory)


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 $SU(3)$ lattice gauge theory, and consider a generalized leapfrog integrator in the molecular dynamics update that can be trained to improve sampling efficiency.

Topical area Algorithms and Artificial Intelligence

Primary authors

James Osborn (ANL) Dr Sam Foreman (Argonne National Laboratory) Xiaoyong Jin (ANL)

Presentation materials