String patterns in the doped Hubbard model

Abstract

One of the simplest models of interacting fermions on a two-dimensional (2D) lattice—the Hubbard model—becomes too tricky to simulate on classical computers as the density of empty lattice sites (holes) increases. Chiu et al. used a quantum microscope to take snapshots of thousands of realizations of the 2D Hubbard model in an optical lattice filled with fermionic lithium atoms at varying hole densities (see the Perspective by Schauss). The authors used pattern recognition algorithms to analyze the images, in which each lattice site was individually resolved. Comparing these patterns to the predictions of several theoretical models, they found the most consistency with the so-called geometric string model.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 19, 2019
Source ID
10.1126/science.aav3587

Entities

People

  • Annabelle Bohrdt
  • Christie S Chiu
  • Daniel Greif
  • Eugene A. Demler
  • Fabian Grusdt
  • Geoffrey Ji
  • Markus Greiner
  • Michael Knap
  • Muqing Xu

Organizations

  • Air Force Office of Scientific Research
  • European Commission
  • German National Academic Foundation
  • German Research Foundation
  • Gordon and Betty Moore Foundation
  • Harvard University
  • Munich Center for Quantum Science and Technology
  • National Science Foundation
  • Office of Naval Research
  • Swiss National Science Foundation
  • Technical University of Munich
  • United States Department of Defense

Tags

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Quantum Computing