Large-scale lattice QCD simulation and application of machine learning

Workshop room@Center for Computational Sciences, University of Tsukuba

November 23 - 25, 2023

Venue/Date

Invited speakers

Registration

Registraiton deadline: 10/31 (participants requiring finantial assistance with travel expenses), 11/15 (others)

Registration form

Program


PDF


November 23

TimeNameTitleSlide
09:25-09:30 Takeshi Yamazaki Welcome address
09:30-10:15 Masaaki Tomii Recent status of K→ππ calculation by RBC/UKQCD with periodic boundary conditions slide
10:15-10:45 Coffee break
10:45-11:30 Jonna Koponen Muon g-2 program in Mainz slide
11:30-13:30 Lunch break
13:30-14:15 Marco Ce Master-field simulations and observable strategies for very large lattices slide
14:15-14:40 Kohei Sato How to directly calculate pion charge radius without fitting slide
14:40-15:10 Coffee break
15:10-15:55 James Zanotti Hadron structure via the Feynman-Hellmann theorem slide
15:55-16:20 Ryutaro Tsuji Axial structure of the nucleon in large-volume lattice QCD at the physical point slide
18:00-20:00 Banquet


November 24

TimeNameTitleSlide
10:00-10:45 Xiaoyong Jin Neural network gauge field transformation and its application in HMC slide
10:45-11:15 Coffee break
11:15-12:00 Yukari Yamauchi Complex control variates slide
12:00-12:10 Group Photo
12:10-14:00 Lunch break
14:00-14:45 Christian Schmidt On the analytic structure of the QCD phase diagram slide
14:45-15:10 Ken-ichi Ishikawa Wilson-Clover quark solver implementation on the supercomputer Fugaku slide
15:10-15:40 Coffee break
15:40-16:05 Shinji Ejiri Phase structure of finite temperature and density lattice QCD in the heavy quark region slide
16:05-16:30 Jishnu Goswami Characterizing Strongly Interacting Matter at Finite Temperature: (2+1)-Flavor QCD with Mobius Domain Wall Fermions slide
16:30-17:00 Coffee break
17:00-17:25 Yuki Nagai Self-learning Monte Carlo method with equivariant Transformer slide


November 25

TimeNameTitleSlide
10:00-10:45 Christoph Lehner Gauge-equivariant multi-grid networks slide
10:45-11:15 Coffee break
11:15-12:00 Julian Urban Properties and uses of approximate trivializing maps in lattice QCD slide
12:00-14:00 Lunch break
14:00-14:25 Takeshi Yamazaki Calculations using PACS10 configuration slide
14:25-14:50 Yoshihiro Michishita Application of Reinforcement Learning to the development of theoretical analysis methods slide
14:50-15:20 Coffee break
15:20-15:45 Masakiyo Kitazawa Machine learning topological sector of Yang-Mills theory slide
15:45-16:15 Coffee break
16:15-18:00 Discussion

Food Map

Lunch near the University

Breakfast near Tsukuba station