System parameter optimization for minimization of sign error probability in free space optical CV-QKD

Fred Daneshgaran, Francesco Di Stasio, Marina Mondin, Shlomi Arnon, Judy Kupferman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Information Reconciliation (IR) in QKD is a fundamental step in ensuring Alice and Bob share identical set of bits (reconciled key). IR could be done by one-way or two-way channel coding using an auxiliary public authenticated channel to send parities to correct the actual labels so that the sample labels at Alice and Bob match. We assume that communication is performed through an Optical Wireless (OW) or Free Space Optics (FSO) channel, which effects the received signal by a stochastic fading due to jitter in pointing. The effect is that the received samples do not match with the transmitted ones, this is the reason why IR is necessary in such a system. In a previous work, we analyzed the system performance over FSO channel, uncovering the dependence between performance and system parameters such as fading variance or the telescope gain. In this paper we want to study the overall performance and try to obtain optimal values for the parameters that influence the sign error probability.

Original languageEnglish
Title of host publicationQuantum Communications and Quantum Imaging XVII
EditorsKeith S. Deacon
PublisherSPIE
ISBN (Electronic)9781510629615
DOIs
StatePublished - 1 Jan 2019
EventQuantum Communications and Quantum Imaging XVII 2019 - San Diego, United States
Duration: 11 Aug 201912 Aug 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11134
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceQuantum Communications and Quantum Imaging XVII 2019
Country/TerritoryUnited States
CitySan Diego
Period11/08/1912/08/19

Keywords

  • CV-QKD
  • FSO
  • IR
  • free space optics channel
  • information reconciliation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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