Speaker
Janik Kreit
(University of Bonn)
Description
Generative modeling of strongly correlated fermionic systems has emerged as a promising complement to traditional quantum Monte Carlo methods. Building on recent demonstrations that normalizing flows can learn the Boltzmann distribution of the Hubbard model, we systematically investigate the path toward larger lattice sizes and lower temperatures. We identify the key challenges that arise in simulating the Hubbard model at scale and propose targeted strategies to address them.
Authors
Janik Kreit
(University of Bonn)
Dominic Schuh
(University of Bonn)
Lena Funcke
(University of Bonn)