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Title: Symmetric Blind Information Reconciliation for Quantum Key Distribution

Quantum key distribution (QKD) is a quantum-proof key-exchange scheme which is fast approaching the communication industry. An essential component in QKD is the information reconciliation step, which is used for correcting the quantum-channel noise errors. The recently suggested blind-reconciliation technique, based on low-density parity-check codes, offers remarkable prospectives for efficient information reconciliation without an a priori quantum bit error rate estimation. We suggest an improvement of the blind-information-reconciliation protocol promoting a significant increase in the efficiency of the procedure and reducing its interactivity. Finally, the proposed technique is based on introducing symmetry in operations of parties, and the consideration of results of unsuccessful belief-propagation decodings.
Authors:
 [1] ;  [2] ; ORCiD logo [3] ;  [4] ;  [5]
  1. Russian Quantum Center, Skolkovo, Moscow (Russia); QApp, Skolkovo, Moscow (Russia); Russian Academy of Sciences (RAS), Moscow (Russian Federation). Steklov Mathematical Inst.
  2. Russian Academy of Sciences (RAS), Moscow (Russian Federation). Steklov Mathematical Inst.; Russian Quantum Center, Skolkovo, Moscow (Russia)
  3. National Univ. of Singapore (Singapore). Dept. of Electrical and Computer Engineering
  4. Russian Quantum Center, Skolkovo, Moscow (Russia)
  5. Russian Quantum Center, Skolkovo, Moscow (Russia); QApp, Skolkovo, Moscow (Russia)
Publication Date:
Grant/Contract Number:
AC05-00OR22725; R-263-000-C78-133/731
Type:
Accepted Manuscript
Journal Name:
Physical Review Applied
Additional Journal Information:
Journal Volume: 8; Journal Issue: 4; Journal ID: ISSN 2331-7019
Publisher:
American Physical Society (APS)
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE; Russian Science Foundation; National University of Singapore (NUS)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1408594
Alternate Identifier(s):
OSTI ID: 1405211