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Cited by 277

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Entanglement dynamics after quantum quenches in generic integrable systems

Open access
Alba, Vincenzo, Calabrese, Pasquale·2018·SciPost Physics

Abstract

The time evolution of the entanglement entropy in non-equilibrium quantum systems provides crucial information about the structure of the time-dependent state. For quantum quench protocols, by combining a quasiparticle picture for the entanglement spreading with the exact knowledge of the stationary state provided by Bethe ansatz, it is possible to obtain an exact and analytic description of the evolution of the entanglement entropy. Here we discuss the application of these ideas to several integrable models. First we show that for non-interacting systems, both bosonic and fermionic, the exact time-dependence of the entanglement entropy can be derived by elementary techniques and without solving the dynamics. We then provide exact results for interacting spin chains that are carefully tested against numerical simulations. Finally, we apply this method to integrable one-dimensional Bose gases (Lieb-Liniger model) both in the attractive and repulsive regimes. We highlight a peculiar behaviour of the entanglement entropy due to the absence of a maximum velocity of excitations.

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Crossref · 10.21468/scipostphys.4.3.017

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Metadata

Authors
Alba, V., & Calabrese, P.
Venue
SciPost Physics
Published
2018-03-27
Volume
4
Issue
3
ISSN
2542-4653 (ISSN-L)
OpenAlex
W2780163107
Cited by
277
References
9
FWCI
14.49
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Entanglement dynamics after quantum quenches in generic integrable systems. https://app.cochat.ai/papers/10.21468/scipostphys.4.3.017
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Alba, V., & Calabrese, P. (2018). Entanglement dynamics after quantum quenches in generic integrable systems. SciPost Physics. https://doi.org/10.21468/scipostphys.4.3.017

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.