aiqbench analysis
This research introduces a novel method for constructing randomized quantum LDPC codes by applying local structural modifications and integer-linear-program repairs to orthogonal sparse matrices, ensuring scalability without increasing computational complexity relative to matrix size. The approach preserves critical row and column weight distributions necessary for efficient belief-propagation decoding while generating genuine ensembles of random codes through iterative application.
Random Construction of Quantum LDPC Codes
arXiv:2511.04634v2 Announce Type: replace Abstract: We propose a method for modifying orthogonal sparse matrix pairs used in CSS codes while preserving their matrix row and column weight distributions, which play a crucial role in determining the performance of belief-propagation decoding. Unlike simple row or column permutations that merely reorder existing elements, the proposed local modification introduces genuine structural randomness through small $2\times2$ cross-swap operations followed by integer-linear-program-based local repairs that restore orthogonality. By applying this procedure repeatedly in a random manner, ensembles of randomized quantum LDPC codes can be constructed. The computational complexity of each repair depends only on the maximum row and column weights and is independent of the overall matrix size, ensuring scalability to large code blocks.
Abstract:We propose a method for modifying orthogonal sparse matrix pairs used in CSS codes while preserving their matrix row and column weight distributions, which play a crucial role in determining the performance of belief-propagation decoding. Unlike simple row or column permutations that merely reorder existing elements, the proposed local modification introduces genuine structural randomness through small $2\times2$ cross-swap operations followed by integer-linear-program-based local repairs that restore orthogonality. By applying this procedure repeatedly in a random manner, ensembles of randomized quantum LDPC codes can be constructed. The computational complexity of each repair depends only on the maximum row and column weights and is independent of the overall matrix size, ensuring scalability to large code blocks.
Quantum Physics (quant-ph); Information Theory (cs.IT)
arXiv:2511.04634 [quant-ph]
(or arXiv:2511.04634v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2511.04634 Focus to learn more arXiv-issued DOI via DataCite
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