Efficient Soft-Output Guessing for Enhanced Quantum Tanner Code Decoding

Quantum Physics [Submitted on 18 Mar 2026] Efficient Soft-Output Guessing for Enhanced Quantum Tanner Code Decoding Lukas Rapp, Muriel Médard, Eugene Tang, Ken R. Duffy We introduce a generalized low-density parity-check decoding framework for quantum Tanner codes utilizing soft-output guessing random additive noise decoding (SOGRAND). By soft-output decoding entire component codes, we mitigate trapping sets and cycles, resulting in improved convergence. SOGRAND, combined with ordered statistic decoding (OSD) post-processing, outperforms the standard belief propagation plus OSD baseline by up to three orders of magnitude in logical error rate, providing a way forward for scalable decoding of the emerging class of Tanner-code-based quantum codes. Subjects: Quantum Physics (quant-ph); Information Theory (cs.IT) Cite as: arXiv:2603.18318 [quant-ph]   (or arXiv:2603.18318v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2603.18318 Focus to learn more Submission history From: Lukas Rapp [view email] [v1] Wed, 18 Mar 2026 22:00:57 UTC (200 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.IT math math.IT References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)