Distributed Private Randomness Distillation

Dong Yang, Karol Horodecki, and Andreas Winter
Phys. Rev. Lett. 123, 170501 – Published 22 October 2019
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Abstract

We develop the resource theory of private randomness extraction in the distributed and device-dependent scenario. We begin by introducing the notion of independent random bits, which are bipartite states containing ideal private randomness for each party, and motivate the natural set of free operations. As a conceptual tool, we introduce virtual quantum state merging, which is essentially the flip side of quantum state merging, without communication. We focus on the bipartite case and find the rate regions achievable in different settings. Surprisingly, it turns out that local noise can boost randomness extraction. As a consequence of our analysis, we resolve a long-standing problem by giving an operational interpretation for the reverse coherent information (up to a constant term logd) as the number of private random bits obtained by sending quantum states from one honest party (server) to another one (client) via the eavesdropped quantum channel.

  • Figure
  • Received 31 January 2019

DOI:https://doi.org/10.1103/PhysRevLett.123.170501

© 2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Dong Yang1,2,*, Karol Horodecki3,4,†, and Andreas Winter5,‡

  • 1Laboratory for Quantum Information, China Jiliang University, 310018 Hangzhou, China
  • 2Department of Informatics, University of Bergen, 5020 Bergen, Norway
  • 3International Centre for Theory of Quantum Technologies, University of Gdańsk, Wita Stwosza 63, 80-308 Gdańsk, Poland
  • 4Institute of Informatics, Department of Physics, Mathematics and Informatics, National Quantum Information Centre, University of Gdańsk, 80-308 Gdańsk, Poland
  • 5ICREA and Física Teòrica: Informació i Fenòmens Quàntics, Departament de Física, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain

  • *dyang@cjlu.edu.cn
  • khorodec@inf.ug.edu.pl
  • andreas.winter@uab.cat

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Issue

Vol. 123, Iss. 17 — 25 October 2019

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