Increasing the classical data throughput in quantum networks by combining quantum linear network coding with superdense coding

Steven Herbert
Phys. Rev. A 101, 062332 – Published 23 June 2020

Abstract

This paper shows how network coding and superdense coding can be combined to increase the classical data throughput by a factor 2ε (for some ε>0) compared to the maximum that could be achieved using either network coding or superdense coding alone. Additionally, a general decomposition of a mixed network (i.e., consisting of classical and quantum links) is given, and it is reasoned that, owing to the inherent hardness of finding network codes, this may well lead to an increase in classical data throughput in practice, should a scenario arise in which quantum networks are used to transfer classical information.

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  • Received 16 January 2020
  • Revised 4 May 2020
  • Accepted 26 May 2020

DOI:https://doi.org/10.1103/PhysRevA.101.062332

©2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Steven Herbert*

  • Department of Computer Science, University of Oxford, Oxford OX1 3QD, United Kingdom and Riverlane, 1st Floor St Andrews House, 59 St Andrews Street, Cambridge CB2 3BZ, United Kingdom

  • *sjh227@cam.ac.uk

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Issue

Vol. 101, Iss. 6 — June 2020

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