Low-Complexity Linear Programming Based Decoding of Quantum LDPC Codes

Sana Javed, Francisco Garcia-Herrero, Bane Vasic, Mark F. Flanagan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorithms. First, a low-complexity syndrome-based linear programming (SB- LP) decoding algorithm is proposed, and second, the proposed SB-LP is applied as a post-processing step after syndrome-based min-sum (SB-MS) decoding. For the latter case, a new early stopping criterion is introduced to decide when to activate the SB- LP algorithm, avoiding executing a predefined maximum number of iterations for the SB-MS decoder. Simulation results show, for a sample hypergraph code, that the proposed decoder can lower the error floor by two to three orders of magnitude compared to SB-MS for the same total number of decoding iterations.

Original languageEnglish (US)
Title of host publicationICC 2024 - IEEE International Conference on Communications
EditorsMatthew Valenti, David Reed, Melissa Torres
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1782-1787
Number of pages6
ISBN (Electronic)9781728190549
DOIs
StatePublished - 2024
Externally publishedYes
Event59th Annual IEEE International Conference on Communications, ICC 2024 - Denver, United States
Duration: Jun 9 2024Jun 13 2024

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference59th Annual IEEE International Conference on Communications, ICC 2024
Country/TerritoryUnited States
CityDenver
Period6/9/246/13/24

Keywords

  • linear programming based decoding
  • Quantum error correction
  • quantum LDPC codes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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