Algorithmic Aspects of the Fermi--Hubbard Model
The paper investigates the algorithmic aspects of sampling from Gibbs states of Fermi-Hubbard models under external fields. It develops a field-resonant Lindbladian to understand state dynamics and proves that certain high-temperature states can be classically hard to sample, suggesting potential for quantum advantage in state preparation.