Distance-preserving stabilizer measurements in hypergraph product codes
Open accessAbstract
Unlike the surface code, quantum low-density parity-check (QLDPC) codes can have a finite encoding rate, potentially lowering the error correction overhead. However, finite-rate QLDPC codes have nonlocal stabilizers, making it difficult to design stabilizer measurement circuits that are low-depth and do not decrease the effective distance. Here, we demonstrate that a popular family of finite-rate QLDPC codes, hypergraph product codes, has the convenient property of distance-robustness: any stabilizer measurement circuit preserves the effective distance. In particular, we prove the depth-optimal circuit in [Tremblay et al, PRL 129, 050504 (2022)] is also optimal in terms of effective distance.
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The locality of small parity checks limits the damage caused by correlated errors.
“Second, their locality limits the damage caused by correlated errors, sometimes for free28.”
From Yoked surface codes (2025) · cites this paper as [28]
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“In that work, it was found that randomly chosen stabilizer measurement circuits sharply reduced the code distance, and even optimized circuits could not fully preserve the distance [37].”
Leverrier, A., & Zemor, G. (2022) · 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) · doi:10.1109/focs54457.2022.00117 · Cited by 140 · see citing works
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Gidney, C., Newman, M., Brooks, P., & Jones, C. (2025) · Nature Communications · doi:10.1038/s41467-025-59714-1 · Cited by 30 · see citing works
- Authors
- Manes, A. G., & Claes, J.
- Affiliations
- Yale University (US)
- Venue
- Quantum
- Published
- 2025-01-30
- Volume
- 9
- Pages
- 1618
- ISSN
- 2521-327X (ISSN-L)
- OpenAlex
- W4406984728
- Cited by
- 17
- References
- 4
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 2
- FWCI
- 6.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Quantum (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- NSF (2137740)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Keywords
- hypergraph product codes, quantum low-density parity-check codes, stabilizer measurements, effective distance, quantum error correction
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