Work Statistics across a Quantum Phase Transition

Zhaoyu Fei, Nahuel Freitas, Vasco Cavina, H. T. Quan, and Massimiliano Esposito
Phys. Rev. Lett. 124, 170603 – Published 1 May 2020
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Abstract

We investigate the statistics of the work performed during a quench across a quantum phase transition using the adiabatic perturbation theory when the system is characterized by independent quasiparticles and the “single-excitation” approximation is assumed. It is shown that all the cumulants of work exhibit universal scaling behavior analogous to the Kibble-Zurek scaling for the average density of defects. Two kinds of transformations are considered: quenches between two gapped phases in which a critical point is traversed, and quenches that end near the critical point. In contrast to the scaling behavior of the density of defects, the scaling behavior of the cumulants of work are shown to be qualitatively different for these two kinds of quenches. However, in both cases the corresponding exponents are fully determined by the dimension of the system and the critical exponents of the transition, as in the traditional Kibble-Zurek mechanism (KZM). Thus, our study deepens our understanding about the nonequilibrium dynamics of a quantum phase transition by revealing the imprint of the KZM on the work statistics.

  • Figure
  • Received 18 February 2020
  • Accepted 15 April 2020

DOI:https://doi.org/10.1103/PhysRevLett.124.170603

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Zhaoyu Fei1, Nahuel Freitas2, Vasco Cavina2, H. T. Quan1,3,4,*, and Massimiliano Esposito2,†

  • 1School of Physics, Peking University, Beijing 100871, China
  • 2Complex Systems and Statistical Mechanics, Physics and Materials Science, University of Luxembourg, L-1511 Luxembourg, Luxembourg
  • 3Collaborative Innovation Center of Quantum Matter, Beijing 100871, China
  • 4Frontiers Science Center for Nano-optoelectronics, Peking University, Beijing, 100871, China

  • *htquan@pku.edu.cn
  • massimiliano.esposito@uni.lu

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Issue

Vol. 124, Iss. 17 — 1 May 2020

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