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Bidirectional Decoding for Concatenated Quantum Hamming Codes

Chao Zhang, Zipeng Wu, Jiahui Wu, Shilin Huang
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⚡ Quantum Brief
Researchers from China introduced a breakthrough "bidirectional decoder" for concatenated quantum Hamming codes, published January 2026, that achieves polynomial-time complexity while significantly improving error correction thresholds. The decoder leverages higher-level syndrome data to correct lower-level recovery errors, a novel approach called bidirectional decoding that outperforms conventional local methods under bit-flip noise conditions. For the [[15,7,3]] quantum Hamming code, the method raises the error threshold from 1.56% to 4.35%, a nearly 3x improvement that could reduce hardware requirements for fault-tolerant quantum computation. Empirical tests show it maintains full 3^L code-distance scaling across three concatenation levels, surpassing the 2^(L+1) scaling of traditional decoders for faster logical-error suppression. This advancement strengthens the case for concatenated-code architectures in low-overhead fault-tolerant quantum systems, potentially accelerating practical quantum computing timelines.
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Quantum Physics arXiv:2601.09131 (quant-ph) [Submitted on 14 Jan 2026] Title:Bidirectional Decoding for Concatenated Quantum Hamming Codes Authors:Chao Zhang, Zipeng Wu, Jiahui Wu, Shilin Huang View a PDF of the paper titled Bidirectional Decoding for Concatenated Quantum Hamming Codes, by Chao Zhang and 3 other authors View PDF HTML (experimental) Abstract:High-rate concatenated quantum codes offer a promising pathway toward fault-tolerant quantum computation, yet designing efficient decoders that fully exploit their error-correction capability remains a significant challenge. In this work, we introduce a hard-decision decoder for concatenated quantum Hamming codes with time complexity polynomial in the block length. This decoder overcomes the limitations of conventional local decoding by leveraging higher-level syndrome information to revise lower-level recovery decisions -- a strategy we refer to as bidirectional decoding. For the concatenated $[[15,7,3]]$ quantum Hamming code under independent bit-flip noise, the bidirectional decoder improves the threshold from approximately $1.56\%$ to $4.35\%$ compared with standard local decoding. Moreover, the decoder empirically preserves the full $3^{L}$ code-distance scaling for at least three levels of concatenation, resulting in substantially faster logical-error suppression than the $2^{L+1}$ scaling offered by local decoders. Our results can enhance the competitiveness of concatenated-code architectures for low-overhead fault-tolerant quantum computation. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2601.09131 [quant-ph] (or arXiv:2601.09131v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.09131 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Shilin Huang [view email] [v1] Wed, 14 Jan 2026 04:09:37 UTC (2,073 KB) Full-text links: Access Paper: View a PDF of the paper titled Bidirectional Decoding for Concatenated Quantum Hamming Codes, by Chao Zhang and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: 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 Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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