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Cited by 999

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Equilibration, thermalisation, and the emergence of statistical mechanics in closed quantum systems

Open access
Gogolin, Christian, Eisert, Jens·2016·Reports on Progress in Physics

Abstract

We review selected advances in the theoretical understanding of complex quantum many-body systems with regard to emergent notions of quantum statistical mechanics. We cover topics such as equilibration and thermalisation in pure state statistical mechanics, the eigenstate thermalisation hypothesis, the equivalence of ensembles, non-equilibration dynamics following global and local quenches as well as ramps. We also address initial state independence, absence of thermalisation, and many-body localisation. We elucidate the role played by key concepts for these phenomena, such as Lieb-Robinson bounds, entanglement growth, typicality arguments, quantum maximum entropy principles and the generalised Gibbs ensembles, and quantum (non-)integrability. We put emphasis on rigorous approaches and present the most important results in a unified language.

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Crossref · 10.1088/0034-4885/79/5/056001

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Metadata

Authors
Gogolin, C., & Eisert, J.
Venue
Reports on Progress in Physics
Published
2016-04-18
Volume
79
Issue
5
Pages
056001
ISSN
  • 0034-4885 (ISSN-L)
  • 1361-6633
OpenAlex
W1759597146
Cited by
999
References
28
FWCI
56.83
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Equilibration, thermalisation, and the emergence of statistical mechanics in closed quantum systems. https://app.cochat.ai/papers/10.1088/0034-4885/79/5/056001
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Gogolin, C., & Eisert, J. (2016). Equilibration, thermalisation, and the emergence of statistical mechanics in closed quantum systems. Reports on Progress in Physics. https://doi.org/10.1088/0034-4885/79/5/056001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.