Model of level statistics for disordered interacting quantum many-body systems

Piotr Sierant and Jakub Zakrzewski
Phys. Rev. B 101, 104201 – Published 11 March 2020

Abstract

We numerically study level statistics of disordered interacting quantum many-body systems. A two-parameter plasma model which controls the level repulsion exponent β and range h of interactions between eigenvalues is shown to reproduce accurately features of level statistics across the transition from the ergodic to many-body localized phase. Analysis of higher-order spacing ratios indicates that the considered βh model accounts even for long-range spectral correlations and allows us to obtain a clear picture of the flow of level statistics across the transition. Comparing the spectral form factors of the βh model and of a system across the ergodic-many-body-localized transition, we show that the range of effective interactions between eigenvalues h is related to the Thouless time which marks the onset of quantum chaotic behavior of the system. Analysis of level statistics of the random quantum circuit which hosts chaotic and localized phases supports the claim that the βh model grasps universal features of level statistics in transition between ergodic and many-body-localized phases also for systems breaking time-reversal invariance.

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  • Received 30 July 2019
  • Revised 21 February 2020
  • Accepted 21 February 2020

DOI:https://doi.org/10.1103/PhysRevB.101.104201

©2020 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Piotr Sierant1,2,* and Jakub Zakrzewski1,3,†

  • 1Institute of Theoretical Physics, Jagiellonian University in Krakow, Łojasiewicza 11, 30-348 Kraków, Poland
  • 2Institut de Sciences Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
  • 3Mark Kac Complex Systems Research Center, Jagiellonian University in Krakow, 30-348 Kraków, Poland

  • *piotr.sierant@uj.edu.pl
  • jakub.zakrzewski@uj.edu.pl

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Issue

Vol. 101, Iss. 10 — 1 March 2020

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