Remote - Theory Seminar

  • Remote - Theory Seminar
    2020-11-30EST13:00:00 ~ 2020-11-30EST14:00:00
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Monday, November 30, 1:00 p.m.

Gurtej Kanwar - MIT

Ensemble generation for lattice QFT using machine learning

Abstract - Monte Carlo sampling is a powerful method to compute observables in quantum field theories regularized on a discrete spacetime lattice (LQFT), which is necessary for example to study the non-perturbative behavior of QCD in the low-energy regime. The cost of drawing independent samples is a major bottleneck in such studies. I discuss our recent work demonstrating that generative machine-learning models can be used to perform Monte Carlo sampling and produce unbiased estimates of observables in LQFT. This work lays out a framework for exactly encoding translational and gauge symmetries in these models, making training practically viable.

Event Date
Scientific Program