Related papers: Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model

Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model

URL: http://arxiv.org/abs/2510.01983v2
Date: Tue, 14 Oct 2025 08:08:04 GMT
Title: Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model
Authors: Tomoya Hayata, Kazuhiro Seki, Seiji Yunoki,
Abstract summary: We propose simulating the many-body localization crossover as a nonequilibrium problem in the disordered Floquet many-body systems.<n>We compute out-of-time-ordered correlators as an indicator of the many-body localization crossover.<n>The validity of the results is confirmed by comparing two independent error mitigation methods.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Simulating nonequilibrium dynamics of quantum many-body systems is one of the most promising applications of quantum computers. However, a faithful digital quantum simulation of the Hamiltonian evolution is very challenging in the present noisy quantum devices. Instead, nonequilibrium dynamics under the Floquet evolution realized by the Trotter decomposition of the Hamiltonian evolution with a large Trotter step size is considered to be a suitable problem for simulating in the present or near-term quantum devices. In this work, we propose simulating the many-body localization crossover as such a nonequilibrium problem in the disordered Floquet many-body systems. As a demonstration, we simulate the many-body localization crossover in a disordered kicked Ising model on a heavy-hex lattice using $60$ qubits from $156$ qubits available in the IBM Heron r2 superconducting qubit device named ibm\_fez. We compute out-of-time-ordered correlators as an indicator of the many-body localization crossover. From the late-time behavior of out-of-time-ordered correlators, we locate the quantum chaotic and many-body localized regimes as a function of the disorder strength. The validity of the results is confirmed by comparing two independent error mitigation methods, that is, the operator renormalization method and zero-noise extrapolation.

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