Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Panel discussion: 1. maximum improvement in <sign> 2. ML towards such a maximal improvement 3. Contour deformation for specific observables 4. Translation between observables/theories

Feb 27, 2023, 5:30 PM

30m

Institute for Advanced Study of the Technische Universität München

ML for phase transitions and sign problem mitigation

Speakers

Chair: Will Detmold Members: Gurtej Kanwar Andrei Alexandru (The George Washington University) Thomas Luu Yukari Yamauchi

Description

1) Is there a way to determine the maximum improvement in <sign> or in S-to-N that is achievable through contour deformations and related
approaches?

2) How can ML be targeted towards such a maximal improvement?

3) Are there features of specific observables that make contour
deformation particularly effective or ineffective?

4) How do contour deformations for one observable/theory translate to other observables/theories?

Presentation materials

2023_Munich_ML4Lattice.pdf