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Capacity Approaching Coding for Low Noise Interactive Quantum Communication Part I: Large Alphabets

  • Debbie Leung
  • , Ashwin Nayak
  • , Ala Shayeghi
  • , Dave Touchette
  • , Penghui Yao
  • , Nengkun Yu
  • University of Waterloo
  • Institute for Quantum Computing
  • Perimeter Institute for Theoretical Physics

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We consider the problem of implementing two-party interactive quantum communication over noisy channels, a necessary endeavor if we wish to fully reap quantum advantages for communication. For an arbitrary protocol with n messages, designed for a noiseless qudit channel over a size alphabet, our main result is a simulation method that fails with probability less than and uses a qudit channel over the same alphabet n(1 + times, of which an fraction can be corrupted adversarially. The simulation is thus capacity achieving to leading order, and we conjecture that it is optimal up to a constant factor in the term. Furthermore, the simulation is in a model that does not require pre-shared resources such as randomness or entanglement between the communicating parties. Our work improves over the best previously known quantum result where the overhead is a non-explicit large constant [Brassard et al., SICOMP'19] for low.

Original languageEnglish
Article number9448041
Pages (from-to)5443-5490
Number of pages48
JournalIEEE Transactions on Information Theory
Volume67
Issue number8
DOIs
StatePublished - Aug 2021

Keywords

  • channel capacity
  • Channel coding
  • interactive quantum communication
  • two-party computation

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