Speaker
Dominic Schuh
(University of Bonn)
Description
The Hubbard model at finite chemical potential is a cornerstone for understanding doped correlated systems, but simulations are severely limited by the sign problem. In the auxiliary-field formulation, the spin basis mitigates the sign problem, yet severe ergodicity issues have limited its use. We extend recent advances with normalizing flows at half-filling to finite chemical potential by introducing an annealing scheme enabling ergodic sampling. Compared to state-of-the-art hybrid Monte Carlo in the charge basis, our approach accurately reproduces exact diagonalization results while reducing statistical uncertainties by an order of magnitude, opening a new path for simulations of doped correlated systems.
Author
Dominic Schuh
(University of Bonn)
Co-authors
Janik Kreit
(University of Bonn)
Lena Funcke
(University of Bonn)
Simran Singh
(HISKP, University of Bonn)
Prof.
Thomas Luu
(Forshungszentrum Jülich)