Year: 2024
Type: article
Abstract: We characterize the equation of state (EoS) of the SU(N>2) Fermi-Hubbard Model (FHM) in a two-dimensional single-layer square optical lattice. We probe the density and the site occupation probabilities as functions of interaction strength and temperature for N=3, 4, and 6. Our measurements are used as a benchmark for state-of-the-art numerical methods including determinantal quantum Monte Carlo and numerical linked cluster expansion. By probing the density fluctuations, we compare temperatures determined in a model-independent way by fitting measurements to numerically calculated EoS results, making this a particularly interesting new step in the exploration and characterization of the SU(N) FHM.
Source: Physical Review Letters
Authors: G. Pasqualetti, O. Bettermann, N. Darkwah Oppong, E. Ibarra-García-Padilla, S. Dasgupta, R. T. Scalettar, K. R. A. Hazzard, I. Bloch, S. Fölling
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,750
Funders: National Science Foundation, U.S. Department of Energy, W. M. Keck Foundation, Welch Foundation, Aspen Center for Physics, Rice University, International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, International Max Planck Research School for Quantum Science and Technology, Office of Science, Kavli Institute for Theoretical Physics, University of California, Santa Barbara
Awards: CAREER: New Algorithms to Simulate Ultracold Matter Out of Equilibrium and Redefine the Low-Temperature Frontier, G1871477277, QUANTUM MONTE CARLO STUDIES OF MULTIBAND HUBBARD MODELS, MRI: Acquisition of Big-Data Private-Cloud Research Cyberinfrastructure (BDPC), Programs on Critical Problems in Physics, Astrophysics and Biophysics at the Aspen Center for Physics, ARTIFICIAL INTELLIGENCE AND DATA SCIENCE ENABLED PREDICTIVE MODELING OF COLLECTIVE PHENOMENA IN STRONGLY CORRELATED QUANTUM MATERIALS, QUANTUM MONTE CARLO STUDIES OF MULTIBAND HUBBARD MODELS, ARTIFICIAL INTELLIGENCE AND DATA SCIENCE ENABLED PREDICTIVE MODELING OF COLLECTIVE PHENOMENA IN STRONGLY CORRELATED QUANTUM MATERIALS, Kavli Institute for Theoretical Physics, G963926086
OpenAlex ID: W4391994271