Physics-inspired transformer quantum states via latent imaginary-time evolution
Physical Review Research 8(3)
My research focuses on quantum many-body and strongly correlated electron systems, using machine-learning methods to represent and compute quantum states.
KEYWORDS
Physical Review Research 8(3)
ACM Transactions on AI for Science (accepted)
Physical Review Research 2(3)
Graduate School of Medicine, Collaborative Researcher
Fujitsu Research, Artificial Intelligence Laboratory, Researcher
DC & Cloud Services Division, Systems Engineer
Department of Information Systems Engineering, Graduate School of Information Science and Technology — Doctoral Program
Department of Physics, Graduate School of Science — Master of Science in Physics
Department of Physics, School of Science — Bachelor of Science in Physics