The DOI matches its Crossref record, with a small difference in title or year; 6 of the 6 references it cites were found in a registry or an index.
Localized statistics decoding for quantum low-density parity-check codes
Open accessAbstract
Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to their implementation. In this work, we introduce localized statistics decoding, a reliability-guided inversion decoder that is highly parallelizable and applicable to arbitrary quantum low-density parity-check codes. Our approach employs a parallel matrix factorization strategy, which we call on-the-fly elimination, to identify, validate, and solve local decoding regions on the decoding graph. Through numerical simulations, we show that localized statistics decoding matches the performance of state-of-the-art decoders while reducing the runtime complexity for operation in the sub-threshold regime. Importantly, our decoder is more amenable to implementation on specialized hardware, positioning it as a promising candidate for decoding real-time syndromes from experiments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Enhancing BP with classical decoding techniques such as ordered statistics decoding (OSD) or localized statistics decoding (LSD) significantly improves performance.
“Also, one can enhance BP with classical decoding techniques such as ordered statistics decoding (OSD) [197] or localized statistics decoding (LSD) [198]. These approaches significantly improve performance.”
From Quantum error correction and fault tolerance: A comprehensive tutorial (2026) · cites this paper as [198]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Surface codes: Towards practical large-scale quantum computation
Fowler, A. G., Mariantoni, M., Martinis, J. M., & Cleland, A. N. (2012) · Physical Review A · doi:10.1103/physreva.86.032324 · Cited by 3,059
Quantum error correction for quantum memories
Terhal, B. M. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.307 · Cited by 1,354
Logical quantum processor based on reconfigurable atom arrays
Bluvstein, D., Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., et al. (2024) · Nature · doi:10.1038/s41586-023-06927-3 · Cited by 1,119
High-threshold and low-overhead fault-tolerant quantum memory
Bravyi, S., Cross, A. W., Gambetta, J. M., Maslov, D., Rall, P., & Yoder, T. J. (2024) · Nature · doi:10.1038/s41586-024-07107-7 · Cited by 456 · cited 9×
“[12], and the Stim files are generated using the code in Ref.”
InfluentialStim: a fast stabilizer circuit simulator
Gidney, C. (2021) · Quantum · doi:10.22331/q-2021-07-06-497 · Cited by 415
Quantum Low-Density Parity-Check Codes
Breuckmann, N. P., & Eberhardt, J. N. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.040101 · Cited by 328
Flagged first, then by citations
Research works printed but not linked: 50
- Dennis, E., Kitaev, A. J., Landahl, A. & Preskill, J. Topological quantum memory. J. Math. Phys. 43, 4452 (2002). · DOI · Paper page
- Kitaev, A. J. Fault-tolerant quantum computation by anyons. Ann. Phys. 303, 2 (2003). · DOI · Paper page
- Gallager, R. G. Low-density parity-check codes. IRE Trans. Inf. Theory 8, 21 (1962). · DOI
- Richardson, T. & Kudekar, S. Design of low-density parity check codes for 5g new radio. IEEE Commun. Mag. 56, 28 (2018). · DOI
- Breuckmann, N. P. & Eberhardt, J. N. Balanced product quantum codes. IEEE Trans. Inf. Theory 67, 6653 (2021). · DOI
- Panteleev, P. and Kalachev, G., Asymptotically good Quantum and locally testable classical LDPC codes, in https://doi.org/10.1145/3519935.3520017Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2022 (Association for Computing Machinery, New York, NY, USA, 2022) pp. 375–388. · DOI · Paper page
- Gottesman, D., Fault-tolerant quantum computation with constant overhead, https://arxiv.org/abs/1310.2984 arxiv:1310.2984 [quant-ph] (2014). · arXiv
- Leverrier, A. and Zémor, G., Quantum Tanner codes, https://arxiv.org/abs/2202.13641 arxiv:2202.13641 [quant-ph] (2022). · arXiv
- Panteleev, P. & Kalachev, G. Degenerate quantum LDPC codes with good finite length performance. Quantum 5, 585 (2021). · DOI · Paper page
- Xu, Q. et al. Constant-overhead fault-tolerant quantum computation with reconfigurable atom arrays. Nat. Phys. 1 (2024). · DOI
- Simmons, S. Scalable fault-tolerant quantum technologies with silicon color centers. PRX Quantum 5, 010102 (2024). · DOI
- Tzitrin, I. et al. Fault-tolerant quantum computation with static linear optics. PRX Quantum 2, 040353 (2021). · DOI
- Bartolucci, S. et al. Fusion-based quantum computation. Nat. Commun. 14, 912 (2023). · DOI
- Beverland, M.E. et al. Assessing requirements to scale to practical quantum advantage, https://arxiv.org/abs/2211.07629 arxiv:2211.07629 [quant-ph] (2022). · arXiv
- Skoric, L., Browne, D. E., Barnes, K. M., Gillespie, N. I. & Campbell, E. T. Parallel window decoding enables scalable fault tolerant quantum computation. Nat. Commun. 14, 7040 (2023). · DOI
- Roffe, J., White, D. R., Burton, S. & Campbell, E. Decoding across the quantum low-density parity-check code landscape. Phys. Rev. Res. 2, 043423 (2020). · DOI · Paper page
- MacKay, D. J. C. & Neal, R. M. Near shannon limit performance of low density parity check codes. Electron. Lett. 33, 457 (1997). · DOI
- Raveendran, N. & Vasic, B. Trapping sets of quantum LDPC codes. Quantum 5, 562 (2021). · DOI
- Morris, K.D., Pllaha, T. and Kelley, C.A., Analysis of syndrome-based iterative decoder failure of QLDPC codes, https://arxiv.org/abs/2307.14532 arxiv:2307.14532 [cs, math] (2023). · arXiv
- Fossorier, M. P. C. & Lin, S. Soft-decision decoding of linear block codes based on ordered statistics. IEEE Trans. Inf. Theory 41, 1379 (1995). · DOI
- Fossorier, M. P. C., Lin, S. & Snyders, J. Reliability-based syndrome decoding of linear block codes. IEEE Trans. Inf. Theory 44, 388 (1998). · DOI
- Valls, J., Garcia-Herrero, F., Raveendran, N. & Vasić, B. Syndrome-based min-sum vs OSD-0 decoders: FPGA implementation and analysis for quantum LDPC codes. IEEE Access 9, 138734 (2021). · DOI
- Koren, Y., Bell, R. & Volinsky, C. Matrix factorization techniques for recommender systems. Computer 42, 30 (2009). · DOI
- Boche, H., Calderbank, R., Kutyniok, G. and Vybíral, J., A survey of compressed sensing, in https://doi.org/10.1007/978-3-319-16042-9_1Compressed Sensing and its Applications, edited by Boche, H. Calderbank, R. Kutyniok, G. and Vybíral, J. (Springer) series Title: Applied and Numerical Harmonic Analysis. · DOI
- Fang, W. and Ying, M., Symphase: Phase symbolization for fast simulation of stabilizer circuits, https://arxiv.org/abs/2311.03906 arxiv:2311.03906 [quant-ph] (2023). · arXiv
- Derks, P.J.H., Townsend-Teague, A., Burchards, A.G. and Eisert, J. Designing fault-tolerant circuits using detector error models, https://doi.org/10.48550/arXiv.2407.13826 (2024). · DOI
- Pattison, C.A., Beverland, M.E., da Silva, M.P. and Delfosse, N., Improved quantum error correction using soft information, arXiv:2107.13589, https://arxiv.org/abs/2107.13589 arxiv:2107.13589 [quant-ph] (2021). · arXiv
- Raveendran, N., Rengaswamy, N., Pradhan, A.K. and Vasić, B., Soft syndrome decoding of quantum ldpc codes for joint correction of data and syndrome errors, in https://doi.org/10.1109/QCE53715.2022.000472022 IEEE International Conference on Quantum Computing and Engineering (QCE) (IEEE, 2022) pp. 275–281. · DOI
- Berent, L., Hillmann, T., Eisert, J., Wille, R. & Roffe, J. Analog information decoding of bosonic quantum low-density parity-check codes. PRX Quantum 5, 020349 (2024). · DOI
- Bourassa, J. E. et al. Blueprint for a scalable photonic fault-tolerant quantum computer. Quantum 5, 392 (2021). · DOI
- Vuillot, C., Asasi, H., Wang, Y., Pryadko, L. P. & Terhal, B. M. Quantum error correction with the toric Gottesman-Kitaev-Preskill code. Phys. Rev. A 99, 032344 (2019). · DOI
- Higgott, O. & Breuckmann, N. P. Improved single-shot decoding of higher-dimensional hypergraph-product codes. PRX Quantum 4, 020332 (2023). · DOI
- Cain, M. et al. Correlated decoding of logical algorithms with transversal gates, https://doi.org/10.48550/arXiv.2403.03272 (2024). · DOI
- Delfosse, N., Londe, V. and Beverland, M.E., Toward a union-find decoder for quantum LDPC codes, https://arxiv.org/abs/2103.08049 arxiv:2103.08049 [quant-ph] (2021). · arXiv
- Kovalev, A. A. & Pryadko, L. P. Quantum Kronecker sum-product low-density parity-check codes with finite rate. Phys. Rev. A 88, 012311 (2013). · DOI
- Tillich, J.-P. & Zémor, G. Quantum LDPC codes with positive rate and minimum distance proportional to the square root of the blocklength. IEEE Trans. Inf. Theory 60, 1193 (2014). · DOI
- Higgott, O., Bohdanowicz, T. C., Kubica, A., Flammia, S. T. & Campbell, E. T. Improved decoding of circuit noise and fragile boundaries of tailored surface codes. Phys. Rev. X 13, 031007 (2023).
- Tremblay, M.A., Delfosse, N. and Beverland, M.E., Constant-overhead quantum error correction with thin planar connectivity, https://arxiv.org/abs/2109.14609 arxiv:2109.14609 [quant-ph] (2021). · arXiv
- Liyanage, N., Wu, Y., Tagare, S. and Zhong, L., FPGA-based distributed union-find decoder for surface codes (2024), · DOI
- Das, P. et al. Afs: Accurate, fast, and scalable error-decoding for fault-tolerant quantum computers, in 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA) (IEEE, 2022) pp. 259–273. · DOI
- Herold, M., Campbell, E. T., Eisert, J. & Kastoryano, M. J. Cellular-automaton decoders for topological quantum memories. npjqi 1, 15010 (2015).
- Kubica, A. et al. Erasure qubits: Overcoming the T1 limit in superconducting circuits. Phys. Rev. X 13, 041022 (2023).
- Levine, H. et al. Demonstrating a long-coherence dual-rail erasure qubit using tunable transmons (2023), https://arxiv.org/abs/arXiv:2307.08737 arXiv:2307.08737. · arXiv
- Gu, S., Retzker, A. and Kubica, A., Fault-tolerant quantum architectures based on erasure qubits, https://arxiv.org/abs/arXiv:2312.14060 (2023).
- Wu, Y., Kolkowitz, S., Puri, S. & Thompson, J. D. Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays. Nat. Commun. 13, 4657 (2022). · DOI
- Wolanski, S. & Barber, B. Introducing ambiguity clustering: an accurate and efficient decoder for qldpc codes, Proc. IEEE Int. Conf. Quantum Comput. Eng. (QCE), Montreal, QC, Canada, pp. 402–403 https://doi.org/10.1109/QCE60285.2024.10326 (2024). · DOI
- Scruby, T.R., Hillmann, T. and Roffe, J., High-threshold, low-overhead and single-shot decodable fault-tolerant quantum memory, https://arxiv.org/abs/2406.14445 arxiv:2406.14445 [quant-ph] (2024). · arXiv
- Gong, A., Cammerer, S. and Renes, J.M., Toward low-latency iterative decoding of QLDPC codes under circuit-level noise, https://arxiv.org/abs/2403.18901 arxiv:2403.18901 [quant-ph] (2024) · arXiv
- Simsiri, N., Tangwongsan, K., Tirthapura, S. & Wu, K.-L. Work-efficient parallel union-find. Concurrency Comput.: Pract. Experience 30, e4333 (2018). · DOI
- Delfosse, N. & Nickerson, N. H. Almost-linear time decoding algorithm for topological codes. Quantum 5, 595 (2021). · DOI · Paper page
Cited by
Sorted by citations
Quantum error correction and fault tolerance: A comprehensive tutorial
Spencer, D. J., Jain, S. P., Tanggara, A., Sun, Z., Haug, T., Khu, D., & Bharti, K. (2026) · arXiv
Metadata
- Authors
- Hillmann, T., Berent, L., Quintavalle, A. O., Eisert, J., Wille, R., & Roffe, J.
- Affiliations
- Chalmers University of Technology (SE)
- Technical University of Munich (DE)
- Freie Universität Berlin (DE)
- Helmholtz-Zentrum Berlin für Materialien und Energie (DE)
- Software Competence Center Hagenberg (Austria) (AT)
- Corresponding author
- Hillmann, Timo
- Berent, Lucas
- Roffe, Joschka
- Venue
- Nature Communications
- Published
- 2025-09-02
- Volume
- 16
- Issue
- 1
- Pages
- 8214-8214
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC12405505
- OpenAlex
- W4413927467
- Cited by
- 37
- References
- 6
- Citations by year
- 2026: 20 · 2025: 16
- FWCI
- 11.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- HZB Repository (Helmholtz-Zentrum Berlin für Materialien und Energie GmbH (HZB)) (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- arXiv (Cornell University)
- Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver (cc-by)
- Funders
- Chalmers Excellence Initiative Nano and the Knut and Alice Wallenberg Foundation through the Wallenberg Centre for Quantum Technology
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
- Keywords
- quantum low-density parity-check codes, quantum error correction, parallel matrix factorization, fault-tolerant quantum computing, syndrome decoding, hardware implementation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review