Hamiltonian reconstruction: The correlation matrix and incomplete operator bases

Lucas Z. Brito, Stephen Carr, J. Alexander Jacoby, and J. B. Marston
Phys. Rev. B 110, 125118 – Published 9 September 2024

Abstract

We explore the robustness of the correlation matrix Hamiltonian reconstruction technique with respect to the choice of operator basis, studying the effects of bases that are undercomplete and overcomplete—too few or too many operators, respectively. An approximation scheme for reconstruction using an undercomplete basis is proposed and tested numerically on select models. We discuss the confounding effects of conserved quantities and symmetries on reconstruction attempts. We apply these considerations to a variety of one-dimensional systems at zero and nonzero temperature.

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  • Received 22 December 2023
  • Revised 25 June 2024
  • Accepted 2 August 2024

DOI:https://doi.org/10.1103/PhysRevB.110.125118

©2024 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsAtomic, Molecular & OpticalQuantum Information, Science & Technology

Authors & Affiliations

Lucas Z. Brito1, Stephen Carr2, J. Alexander Jacoby3,1, and J. B. Marston2,1

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Vol. 110, Iss. 12 — 15 September 2024

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