Structural complexity of snapshots of two-dimensional Fermi-Hubbard systems

Ibarra-García-Padilla, Eduardo; Striegel, Stephanie; Scalettar, Richard T.; Khatami, Ehsan

doi:10.1103/physreva.109.053304

Title: Structural complexity of snapshots of two-dimensional Fermi-Hubbard systems

Journal Article · 06 May 2024 · Physical Review A

DOI: https://doi.org/10.1103/physreva.109.053304 · OSTI ID:2432278

^[1]; Striegel, Stephanie ^[2];

^[3];

^[2]

University of California, Davis, CA (United States); San José State University, CA (United States); UC Davis
San José State University, CA (United States)
University of California, Davis, CA (United States)

The development of quantum gas microscopy for two-dimensional optical lattices has provided an unparalleled tool to study the Fermi-Hubbard model (FHM) with ultracold atoms. Spin-resolved projective measurements, or snapshots, have played a significant role in quantifying correlation functions, theory verification, and thus the uncovering of underlying physical phenomena such as antiferromagnetism at commensurate filling on bipartite lattices and other charge and spin correlations, as well as dynamical properties at various densities. Here we employ a recent concept, the multiscale structural complexity, and show that when computed for the snapshots (of single spin species, local moments, or total density) it can provide a theory-free property, immediately accessible to experiments. Specifically, after benchmarking results for Ising and $XY$ models, we study the structural complexity of snapshots of the repulsive FHM in the two-dimensional square lattice as a function of doping and temperature. We generate projective measurements using determinant quantum Monte Carlo and compare their complexities against those from the experiment. We demonstrate that these complexities are linked to relevant physical observables such as the entropy and double occupancy. Their behaviors capture the development of correlations and relevant length scales in the system. Furthermore, we provide an open-source code in python which can be implemented into data analysis routines in experimental settings for the square lattice.

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Research Organization:: University of California, Davis, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0022311

OSTI ID:: 2432278

Journal Information:: Physical Review A, Journal Name: Physical Review A Journal Issue: 5 Vol. 109; ISSN 2469-9926

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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