Analytic expressions for Hubbard models with arbitrary structures in programmable optical lattices

J. P. Hague, L. Petit, and C. MacCormick
Phys. Rev. A 104, 053321 – Published 22 November 2021

Abstract

We investigate the use of programmable optical lattices for quantum simulation of Hubbard models, determining analytic expressions for the hopping and Hubbard U, finding that they are suitable for emulating strongly correlated systems with arbitrary structures, including those with a multiple site basis and impurities. Programmable potentials are highly flexible, with the ability to control the depth and shape of individual sites in the optical lattice dynamically. Quantum simulators of Hubbard models with (1) an arbitrary basis are required to represent many real materials of contemporary interest, (2) broken translational symmetry are needed to study impurity physics, and (3) dynamical lattices are needed to investigate strong correlations out of equilibrium. We derive analytic expressions for Hubbard Hamiltonians in programmable potential systems. We find experimental parameters for quantum simulation of Hubbard models with an arbitrary basis, concluding that programmable optical lattices are suitable for this purpose. Finally, we demonstrate how programmable optical lattices can be used for quantum simulation of ionic Hubbard models, and thus the onset of charge transfer insulating states, in parameter regimes that are currently inaccessible to experiment.

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  • Received 10 May 2021
  • Revised 19 October 2021
  • Accepted 3 November 2021

DOI:https://doi.org/10.1103/PhysRevA.104.053321

©2021 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalCondensed Matter, Materials & Applied Physics

Authors & Affiliations

J. P. Hague1, L. Petit2, and C. MacCormick1

  • 1School of Physical Sciences, The Open University, Walton Hall, Milton Keynes MK7 6AA, United Kingdom
  • 2Science and Technology Facilities Council, Daresbury Laboratory, Daresbury WA4 4AD, United Kingdom

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Issue

Vol. 104, Iss. 5 — November 2021

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