Speakers
Chair: Phiala Shanahan
Members: Fernando Romero Lopez
Jacob Finkenrath
Jeanne Trinquier
Description
• 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 field generation algorithms must be designed?
• What are the biggest challenges to lattice field generation accelerated by ML?
• Circling back to the start: what are your reasons for optimism or pessimism in reaching applications at an interesting scale?
