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We examine the interplay of interaction and disorder for a Heisenberg spin ladder system with random fields. We identify many-body localized states based on the entanglement entropy scaling, where delocalized and localized states have…

强关联电子 · 物理学 2015-12-09 Elliott Baygan , S. P. Lim , D. N. Sheng

Disorder free many-body localization (MBL) can occur in interacting systems that can dynamically generate their own disorder. We address the thermal-MBL phase transition of two isotropic Heisenberg spin chains that are quasi-periodically…

无序系统与神经网络 · 物理学 2024-09-04 K. G. S. H. Gunawardana , Bruno Uchoa

The recent observations of persistent revivals in the Rydberg atom chain have revealed a weak ergodicity breaking mechanism known as quantum many-body scars, which is typically a collection of states with low entanglement embedded in…

无序系统与神经网络 · 物理学 2023-12-14 Qianqian Chen , Zheng Zhu

Many-body localization (MBL) provides a mechanism to avoid thermalization in many-body quantum systems. Here, we show that an {\it emergent} symmetry can protect a state from MBL. Specifically, we propose a $\Z_2$ symmetric model with…

无序系统与神经网络 · 物理学 2020-12-15 N. S. Srivatsa , Roderich Moessner , Anne E. B. Nielsen

The many-body localised (MBL) to thermal crossover observed in exact diagonalisation studies remains poorly understood as the accessible system sizes are too small to be in an asymptotic scaling regime. We develop a model of the crossover…

无序系统与神经网络 · 物理学 2022-07-13 Philip J. D. Crowley , Anushya Chandran

We study the quantum thermalization and information scrambling dynamics of an experimentally realizable quantum spin model with homogeneous XX-type all-to-all interactions and random local potentials. We identify the…

量子物理 · 物理学 2022-07-20 Shang-Shu Li , Rui-Zhen Huang , Heng Fan

Many-body-localized (MBL) phases can be topologically distinct, but distinguishing these phases using order parameters can be challenging. Here we show how topologically distinct local integrals of motion, variationally parametrized by…

无序系统与神经网络 · 物理学 2022-05-05 Thorsten B. Wahl , Florian Venn , Benjamin Béri

It is believed that thermalization in closed systems of interacting particles can occur only when the eigenstates are fully delocalized and chaotic in the preferential (unperturbed) basis of the total Hamiltonian. Here we demonstrate that…

量子物理 · 物理学 2018-01-17 Fausto Borgonovi , Felix M. Izrailev

Symmetries play a central role in single-particle localization. Recent research focused on many-body localized (MBL) systems, characterized by new kind of integrability, and by the area-law entanglement of eigenstates. We investigate the…

强关联电子 · 物理学 2020-02-12 I. V. Protopopov , R. K. Panda , T. Parolini , A. Scardicchio , E. Demler , D. A. Abanin

The disordered XXZ model is a prototype model of the many-body localization transition (MBL). Despite numerous studies of this model, the available numerical evidence of multifractality of its eigenstates is not very conclusive due severe…

无序系统与神经网络 · 物理学 2020-05-22 David J. Luitz , Ivan M. Khaymovich , Yevgeny Bar Lev

Recent work by De Roeck et al. [Phys. Rev. B 95, 155129 (2017)] has argued that many-body localization (MBL) is unstable in two and higher dimensions due to a thermalization avalanche triggered by rare regions of weak disorder. To examine…

无序系统与神经网络 · 物理学 2019-05-29 Ionut-Dragos Potirniche , Sumilan Banerjee , Ehud Altman

Using the ergodicity principle for the expectation values of several types of observables, we investigate the thermalization process in isolated fermionic systems. These are described by the two-body random ensemble, which is a paradigmatic…

统计力学 · 物理学 2015-05-27 V. K. B. Kota , A. Relaño , J. Retamosa , Manan Vyas

We re-examine attempts to study the many-body localization transition using measures that are physically natural on the ergodic/quantum chaotic regime of the phase diagram. Using simple scaling arguments and an analysis of various models…

Many-body localization (MBL) has been proposed to enable and protect topological order in all eigenstates, vastly expanding the traditional ground-state setting. However, for the most intriguing case of two-dimensional (2D) systems with…

无序系统与神经网络 · 物理学 2024-11-15 Florian Venn , Thorsten B. Wahl , Benjamin Béri

The random energy model (REM) provides a solvable mean-field description of the equilibrium spin glass transition. Its quantum sibling (the QREM), obtained by adding a transverse field to the REM, has similar properties and shows a spin…

统计力学 · 物理学 2016-01-27 C. L. Baldwin , C. R. Laumann , A. Pal , A. Scardicchio

We explore the Fock-space structure of eigenstates across the many-body localisation (MBL) transition in a disordered, interacting quantum spin-1/2 chain. Eigenstate expectation values of spatially local observables, which distinguish an…

无序系统与神经网络 · 物理学 2021-11-04 Sthitadhi Roy , David E. Logan

Many-body localization is a striking mechanism that prevents interacting quantum systems from thermalizing. The absence of thermalization behaviour manifests itself, for example, in a remanence of local particle number configurations, a…

强关联电子 · 物理学 2020-12-30 Augustine Kshetrimayum , Marcel Goihl , Jens Eisert

Ergodic many-body systems are expected to reach quasi-thermal equilibrium. Here we demonstrate that, surprisingly, high-energy electrons, which are injected into a quantum Hall edge mode with finite range interactions, stabilize at a…

介观与纳米尺度物理 · 物理学 2022-02-24 Stefan G. Fischer , Yigal Meir , Yuval Gefen , Bernd Rosenow

We analyze the localization properties of the disordered Hubbard model in the presence of a synthetic magnetic field. An analysis of level spacing ratio shows a clear transition from ergodic to many-body localized phase. The transition…

无序系统与神经网络 · 物理学 2021-01-08 Kuldeep Suthar , Piotr Sierant , Jakub Zakrzewski

A prime characterization of many-body localized (MBL) systems is the entanglement of their eigenstates; in contrast to the typical ergodic phase whose eigenstates are volume law, MBL eigenstates obey an area law. In this work, we show that…

无序系统与神经网络 · 物理学 2018-09-12 Xiongjie Yu , Di Luo , Bryan K. Clark