Quantum CSS LDPC Codes based on Dyadic Matrices for Belief Propagation-based Decoding

📅 2026-01-13
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This work addresses the trade-off between error-correction capability and implementation complexity in quantum low-density parity-check (LDPC) codes, as well as the detrimental impact of short cycles—particularly 4-cycles—on belief propagation (BP) decoding performance. To this end, the authors propose a construction method based on quasi-bicyclic matrix algebras. The approach first generates a classical LDPC code with girth six, then embeds it into a CSS framework such that the two parity-check matrices satisfy the compatibility conditions required by the CAMEL-ensemble quaternary BP decoder. Notably, all unavoidable 4-cycles are concentrated onto a single variable node for the first time, enabling their effective suppression through local elimination. The resulting quantum CSS LDPC codes achieve high girth, low decoding complexity, and superior error-correction performance.

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📝 Abstract
Quantum low-density parity-check (QLDPC) codes provide a practical balance between error-correction capability and implementation complexity in quantum error correction (QEC). In this paper, we propose an algebraic construction based on dyadic matrices for designing both classical and quantum LDPC codes. The method first generates classical binary quasi-dyadic LDPC codes whose Tanner graphs have girth 6. It is then extended to the Calderbank-Shor-Steane (CSS) framework, where the two component parity-check matrices are built to satisfy the compatibility condition required by the recently introduced CAMEL-ensemble quaternary belief propagation decoder. This compatibility condition ensures that all unavoidable cycles of length 4 are assembled in a single variable node, allowing the mitigation of their detrimental effects by decimating that variable node.
Problem

Research questions and friction points this paper is trying to address.

Quantum LDPC codes
CSS codes
belief propagation decoding
dyadic matrices
girth-4 cycles
Innovation

Methods, ideas, or system contributions that make the work stand out.

dyadic matrices
QLDPC codes
CSS construction
belief propagation decoding
girth-4 cycle mitigation
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A
Alessio Baldelli
Department of Information Engineering, Università Politecnica delle Marche, Ancona 60131, Italy
Massimo Battaglioni
Massimo Battaglioni
Tenure-Track Researcher, Università Politecnica delle Marche
Channel codingLDPC codescode-based cryptosystems
J
Jonathan Mandelbaum
Communications Engineering Lab (CEL), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany
S
Sisi Miao
Communications Engineering Lab (CEL), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany
Laurent Schmalen
Laurent Schmalen
Professor | Fellow IEEE | Communications Engineering Lab, Karlsruhe Institute of Technology
Information TheoryCoding TheoryError Correction CodingOptical Communications