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    Eigenstate Thermalization Hypothesis and Its Deviations from Random-Matrix Theory beyond the Thermalization Time

    Jiaozi Wang1,*, Mats H. Lamann1, Jonas Richter2, Robin Steinigeweg1, Anatoly Dymarsky3,4,5, and Jochen Gemmer1,†

    • 1Department of Physics, University of Osnabrück, D-49076 Osnabrück, Germany
    • 2Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom
    • 3Moscow Institute of Physics and Technology, 9 Institutskiy pereulok, Dolgoprudny 141701, Russia
    • 4Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Moscow 121205, Russia
    • 5Department of Physics, University of Kentucky, Lexington, Kentucky 40506, USA

    • *jiaozi.wang@uos.de
    • †jgemmer@uos.de

    Phys. Rev. Lett. 128, 180601 – Published 4 May, 2022

    DOI: https://doi.org/10.1103/PhysRevLett.128.180601

    Abstract

    The eigenstate thermalization hypothesis explains the emergence of the thermodynamic equilibrium in isolated quantum many-body systems by assuming a particular structure of the observable’s matrix elements in the energy eigenbasis. Schematically, it postulates that off-diagonal matrix elements are random numbers and the observables can be described by random matrix theory (RMT). To what extent a RMT description applies, more precisely at which energy scale matrix elements of physical operators become truly uncorrelated, is, however, not fully understood. We study this issue by introducing a novel numerical approach to probe correlations between matrix elements for Hilbert-space dimensions beyond those accessible by exact diagonalization. Our analysis is based on the evaluation of higher moments of operator submatrices, defined within energy windows of varying width. Considering nonintegrable quantum spin chains, we observe that matrix elements remain correlated even for narrow energy windows corresponding to timescales of the order of thermalization time of the respective observables. We also demonstrate that such residual correlations between matrix elements are reflected in the dynamics of out-of-time-ordered correlation functions.

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