Maximum one-shot dissipated work from Rényi divergences

Nicole Yunger Halpern, Andrew J. P. Garner, Oscar C. O. Dahlsten, and Vlatko Vedral
Phys. Rev. E 97, 052135 – Published 25 May 2018

Abstract

Thermodynamics describes large-scale, slowly evolving systems. Two modern approaches generalize thermodynamics: fluctuation theorems, which concern finite-time nonequilibrium processes, and one-shot statistical mechanics, which concerns small scales and finite numbers of trials. Combining these approaches, we calculate a one-shot analog of the average dissipated work defined in fluctuation contexts: the cost of performing a protocol in finite time instead of quasistatically. The average dissipated work has been shown to be proportional to a relative entropy between phase-space densities, to a relative entropy between quantum states, and to a relative entropy between probability distributions over possible values of work. We derive one-shot analogs of all three equations, demonstrating that the order-infinity Rényi divergence is proportional to the maximum possible dissipated work in each case. These one-shot analogs of fluctuation-theorem results contribute to the unification of these two toolkits for small-scale, nonequilibrium statistical physics.

  • Received 19 July 2017

DOI:https://doi.org/10.1103/PhysRevE.97.052135

©2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Nicole Yunger Halpern1,*, Andrew J. P. Garner2,3, Oscar C. O. Dahlsten2,4,5,†, and Vlatko Vedral2,3,6

  • 1Institute for Quantum Information and Matter, Caltech, Pasadena, California 91125, USA
  • 2Atomic and Laser Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
  • 3Center for Quantum Technologies, National University of Singapore 117543, Republic of Singapore
  • 4Institute for Quantum Science and Engineering, and Department of Physics, Southern University of Science and Technology, Shenzhen 518055, China
  • 5London Institute for Mathematical Sciences, 35a South Street, Mayfair, London W1K 2XF, United Kingdom
  • 6Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542

  • *nicoleyh.11@gmail.com
  • dahlsten@sustc.edu.cn

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Issue

Vol. 97, Iss. 5 — May 2018

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