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Theoretical physicists working at a blackboard collaboration pod in the Beecroft building.
Credit: Jack Hobhouse

Professor Fabian Essler

Professorial Research Fellow

Research theme

  • Fields, strings, and quantum dynamics
  • Quantum materials

Sub department

  • Rudolf Peierls Centre for Theoretical Physics

Research groups

  • Condensed Matter Theory
Fabian.Essler@physics.ox.ac.uk
Telephone: 01865 (2)73971
Rudolf Peierls Centre for Theoretical Physics, room 70.12
www-thphys.physics.ox.ac.uk/people/FabianEssler
  • About
  • Publications

A simple theory for quantum quenches in the ANNNI model

SciPost Physics SciPost Foundation 15:1 (2023) 32

Authors:

Jacob Robertson, Riccardo Senese, Fabian Essler

Abstract:

In a recent numerical study by Haldar et al. (Phys. Rev. X 11, 031062) it was shown that signatures of proximate quantum critical points can be observed at early and intermediate times after certain quantum quenches. Said work focused mainly on the case of the axial next-nearest neighbour Ising (ANNNI) model. Here we construct a simple time-dependent mean-field theory that allows us to obtain a quantitatively accurate description of these quenches at short times, which for reasons we explain remains a fair approximation at late times (with some caveats). Our approach provides a simple framework for understanding the reported numerical results as well as fundamental limitations on detecting quantum critical points through quench dynamics. We moreover explain the origin of the peculiar oscillatory behaviour seen in various observables as arising from the formation of a long-lived bound state.
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Statistics of matrix elements of local operators in integrable models

(2023)

Authors:

FHL Essler, AJJM de Klerk
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Details from ArXiV

Decay of long-lived oscillations after quantum quenches in gapped interacting quantum systems

(2023)

Authors:

Jacob H Robertson, Riccardo Senese, Fabian HL Essler
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A short introduction to Generalized Hydrodynamics

(2023)
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Lifted TASEP: a Bethe ansatz integrable paradigm for non-reversible Markov chains

(2023)

Authors:

Fabian HL Essler, Werner Krauth
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Details from ArXiV

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