One-Shot Coherence Dilution

Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, and Xiongfeng Ma
Phys. Rev. Lett. 120, 070403 – Published 13 February 2018
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Abstract

Manipulation and quantification of quantum resources are fundamental problems in quantum physics. In the asymptotic limit, coherence distillation and dilution have been proposed by manipulating infinite identical copies of states. In the nonasymptotic setting, finite data-size effects emerge, and the practically relevant problem of coherence manipulation using finite resources has been left open. This Letter establishes the one-shot theory of coherence dilution, which involves converting maximally coherent states into an arbitrary quantum state using maximally incoherent operations, dephasing-covariant incoherent operations, incoherent operations, or strictly incoherent operations. We introduce several coherence monotones with concrete operational interpretations that estimate the one-shot coherence cost—the minimum amount of maximally coherent states needed for faithful coherence dilution. Furthermore, we derive the asymptotic coherence dilution results with maximally incoherent operations, incoherent operations, and strictly incoherent operations as special cases. Our result can be applied in the analyses of quantum information processing tasks that exploit coherence as resources, such as quantum key distribution and random number generation.

  • Figure
  • Received 29 June 2017
  • Revised 28 November 2017

DOI:https://doi.org/10.1103/PhysRevLett.120.070403

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Qi Zhao1, Yunchao Liu1, Xiao Yuan1,*, Eric Chitambar2,†, and Xiongfeng Ma1,‡

  • 1Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China
  • 2Department of Physics and Astronomy, Southern Illinois University, Carbondale, Illinois 62901, USA

  • *yxbdwl@gmail.com
  • echitamb@siu.edu
  • xma@tsinghua.edu.cn

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Issue

Vol. 120, Iss. 7 — 16 February 2018

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