Markovian evolution of quantum coherence under symmetric dynamics

Matteo Lostaglio, Kamil Korzekwa, and Antony Milne
Phys. Rev. A 96, 032109 – Published 11 September 2017

Abstract

Both conservation laws and practical restrictions impose symmetry constraints on the dynamics of open quantum systems. In the case of time-translation symmetry, which arises naturally in many physically relevant scenarios, the quantum coherence between energy eigenstates becomes a valuable resource for quantum information processing. In this work, we identify the minimum amount of decoherence compatible with this symmetry for a given population dynamics. This yields a generalization to higher-dimensional systems of the relation T22T1 for qubit decoherence and relaxation times. It also enables us to witness and assess the role of non-Markovianity as a resource for coherence preservation and transfer. Moreover, we discuss the relationship between ergodicity and the ability of Markovian dynamics to indefinitely sustain a superposition of different energy states. Finally, we establish a formal connection between the resource-theoretic and the master equation approaches to thermodynamics, with the former being a non-Markovian generalization of the latter. Our work thus brings the abstract study of quantum coherence as a resource towards the realm of actual physical applications.

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  • Received 21 April 2017
  • Revised 4 July 2017

DOI:https://doi.org/10.1103/PhysRevA.96.032109

©2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & Optical

Authors & Affiliations

Matteo Lostaglio1,2, Kamil Korzekwa1,3, and Antony Milne1,4

  • 1Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
  • 2ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels (Barcelona), 08860, Spain
  • 3Centre for Engineered Quantum Systems, School of Physics, The University of Sydney, Sydney, NSW 2006, Australia
  • 4Department of Computing, Goldsmiths, University of London, New Cross, London SE14 6NW, United Kingdom

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Issue

Vol. 96, Iss. 3 — September 2017

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