Tackling the Sign Problem in the Doped Hubbard Model with Normalizing Flows
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 ...
| Authors | Dominic Schuh, Lena Funcke, Janik Kreit et al. |
|---|---|
| Primary category | cond-mat.str-el |
| Published | 18 March 2026 |
| Last updated at source | 18 March 2026 |
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