Quantum Error Correction with Girth-16 Non-Binary LDPC Codes via Affine Permutation Construction

We propose a method for constructing quantum error-correcting codes using non-binary low-density parity-check codes whose Tanner graphs have girth 16. While conventional constructions based on circulant permutation matrices are limited to a maximum girth of 12, our approach leverages affine permutation matrices combined with a randomized sequential selection strategy to eliminate short cycles and achieve girth 16. Numerical experiments show that the proposed codes significantly reduce the number of low-weight codewords. Joint belief propagation decoding over depolarizing channels reveals that although a slight degradation appears in the waterfall region, a substantial improvement is achieved in the error floor performance. We also evaluated the minimum distance of the proposed codes and found that they achieve a larger upper bound than conventional constructions.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/istc65386.2025.11154564
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48
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article

Quantum Error Correction with Girth-16 Non-Binary LDPC Codes via Affine Permutation Construction

Kenta Kasai
1 citations
Quantum Computing Algorithms and Architecture
2.48
article

Quantum Error Correction with Girth-16 Non-Binary LDPC Codes via Affine Permutation Construction

Kenta Kasai
article en
1 citations

Abstract

We propose a method for constructing quantum error-correcting codes using non-binary low-density parity-check codes whose Tanner graphs have girth 16. While conventional constructions based on circulant permutation matrices are limited to a maximum girth of 12, our approach leverages affine permutation matrices combined with a randomized sequential selection strategy to eliminate short cycles and achieve girth 16. Numerical experiments show that the proposed codes significantly reduce the number of low-weight codewords. Joint belief propagation decoding over depolarizing channels reveals that although a slight degradation appears in the waterfall region, a substantial improvement is achieved in the error floor performance. We also evaluated the minimum distance of the proposed codes and found that they achieve a larger upper bound than conventional constructions.

Shanghai Institute for Science of Science (CN), Institute of Science Tokyo (JP)
Openalex Percentile: Top 9%
Quantum Computing Algorithms and Architecture
2.48
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