Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Session

Gauge field generation

talks and panel discussion

Feb 28, 2023, 11:15 AM

Institute for Advanced Study of the Technische Universität München

Conveners

Gauge field generation

• Phiala Shanahan ()

Description

Talks and panel discussion

Contribution list Timetable

59. Simulation of the 2D Schwinger Model via machine-learned flows in Global Correction steps

Jacob Finkenrath

2/28/23, 11:15 AM

60. Variational Autoregressive Networks for Information Theory

Tomasz Stebel

2/28/23, 11:40 AM

61. Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems

Jeanne Trinquier

2/28/23, 12:00 PM

62. Panel discussion: 1. Utility of ML for lattice 2. application-specific features of gauge field generation 3. Biggest challenges 4. Applications at an interesting scale

Chair: Phiala Shanahan, Members: Fernando Romero Lopez, Jacob Finkenrath, Jeanne Trinquier

2/28/23, 12:20 PM

• Temperature check: for each panelist, in 2-5 words, how optimistic or pessimistic do you feel about the utility of ML in accelerating lattice field generation in your context.
• What are the most application-specific features of the LQCD gauge field generation problem i.e., in what important ways is it different from applications in other areas of physics, and how does that impact the way...