• Open Access

Accuracy of the finite-temperature Lanczos method compared to simple typicality-based estimates

Jürgen Schnack, Johannes Richter, and Robin Steinigeweg
Phys. Rev. Research 2, 013186 – Published 21 February 2020

Abstract

We study trace estimators for equilibrium thermodynamic observables that rely on the idea of typicality and derivatives thereof such as the finite-temperature Lanczos method (FTLM). As numerical examples quantum spin systems are studied. Our initial aim was to identify pathological examples or circumstances, such as strong frustration or unusual densities of states, where these methods could fail. It turned out that all investigated systems allow such approximations. Only at temperatures of the order of the lowest energy gap is the convergence somewhat slower in the number of random vectors over which observables are averaged.

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  • Received 21 November 2019
  • Revised 20 January 2020
  • Accepted 22 January 2020

DOI:https://doi.org/10.1103/PhysRevResearch.2.013186

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsStatistical Physics & Thermodynamics

Authors & Affiliations

Jürgen Schnack1,*, Johannes Richter2,3,†, and Robin Steinigeweg4,‡

  • 1Fakultät für Physik, Universität Bielefeld, Postfach 100131, D-33501 Bielefeld, Germany
  • 2Institut für Theoretische Physik, Universität Magdeburg, P.O. Box 4120, D-39016 Magdeburg, Germany
  • 3Max-Planck-Institut für Physik Komplexer Systeme, Nöthnitzer Straße 38, 01187 Dresden, Germany
  • 4Fachbereich Physik, Universität Osnabrück, Barbarastraße 7, D-49076 Osnabrück, Germany

  • *jschnack@uni-bielefeld.de
  • johannes.richter@physik.uni-magdeburg.de
  • rsteinig@uos.de

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Vol. 2, Iss. 1 — February - April 2020

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