Recognition: no theorem link
Design and Analysis of Quantum Dual-Containing CSS LDPC Codes based on Quasi-Dyadic Matrices
Pith reviewed 2026-05-13 07:29 UTC · model grok-4.3
The pith
Quasi-dyadic matrices produce quantum DC CSS LDPC codes with improved finite-length error rates.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Two constructions based on quasi-dyadic matrices generate high-rate quantum dual-containing CSS LDPC codes. These codes possess favorable cycle properties, analyzable automorphism groups, and minimum distances, while numerical simulations demonstrate superior finite-length error-rate performance compared with existing dual-containing codes across different block lengths and code rates.
What carries the argument
Quasi-dyadic matrices that define the parity-check matrices of the CSS codes, enforcing the dual-containing property while preserving sparsity.
If this is right
- The codes admit transversal implementation of the Hadamard gate.
- Decoding runs with standard binary belief-propagation at low complexity.
- Cycle properties follow directly from the quasi-dyadic structure.
- Automorphism groups and minimum distances are determined from the matrix construction.
- Error-rate gains appear consistently across varied block lengths and rates.
Where Pith is reading between the lines
- The constructions may reduce the physical-qubit overhead required for fault-tolerant quantum computation.
- The quasi-dyadic pattern could be adapted to other quantum LDPC families such as hypergraph-product or lifted-product codes.
- Large automorphism groups might enable faster systematic encoding algorithms beyond belief propagation.
- Gains observed under depolarizing noise may extend to circuit-level noise if the cycle properties continue to limit short error chains.
Load-bearing premise
The quasi-dyadic constructions always produce valid dual-containing CSS codes whose cycle structures, distances, and simulated performance hold under the noise models used.
What would settle it
A simulation at any tested block length and rate where the new codes exhibit higher logical error rates than existing DC codes at identical parameters would falsify the performance claim.
Figures
read the original abstract
Building scalable quantum computers requires quantum error-correcting codes that enable reliable operations in the presence of noise. Motivated by such need, this paper introduces two constructions of high-rate, quantum dual-containing (DC) Calderbank-Shor-Steane (CSS) low-density parity-check (LDPC) codes based on quasi-dyadic matrices. Their DC structure enables the transversal implementation of the Hadamard gate, and, jointly with the sparsity of their parity-check matrices enable low-complexity decoding via a standard binary belief-propagation algorithm. We provide several theoretical results concerning the cycle properties of these CSS codes. We also investigate their automorphism groups as well as their minimum distance. Furthermore, through numerical simulations, we show that the quantum CSS LDPC codes obtained through these constructions achieve better finite-length error rate performance than existing DC codes across different block lengths and code rates.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces two constructions of high-rate quantum dual-containing CSS LDPC codes based on quasi-dyadic matrices. It provides theoretical results on cycle properties, automorphism groups, and minimum distances, and reports numerical simulations showing superior finite-length error-rate performance compared to existing DC codes across block lengths and rates.
Significance. If the constructions are valid, the work would contribute practical high-rate quantum LDPC codes supporting transversal Hadamard gates and BP decoding, with reported performance gains that could matter for finite-length quantum error correction.
major comments (1)
- §3 (Constructions): the central claim that the two quasi-dyadic families produce valid CSS codes rests on the dual-containing condition HH^T = 0 over GF(2); the manuscript asserts this property but does not supply the explicit algebraic verification for the matrix families and parameter tuples used in the theorems and simulations, which is load-bearing for all subsequent cycle, distance, and performance statements.
minor comments (1)
- Notation for the automorphism groups in §4 could be accompanied by a small explicit example matrix to improve readability.
Simulated Author's Rebuttal
We thank the referee for their careful reading and for identifying the missing explicit verification of the dual-containing condition. We agree this is a necessary addition and will revise the manuscript accordingly.
read point-by-point responses
-
Referee: [—] §3 (Constructions): the central claim that the two quasi-dyadic families produce valid CSS codes rests on the dual-containing condition HH^T = 0 over GF(2); the manuscript asserts this property but does not supply the explicit algebraic verification for the matrix families and parameter tuples used in the theorems and simulations, which is load-bearing for all subsequent cycle, distance, and performance statements.
Authors: We agree that the explicit algebraic verification of HH^T = 0 over GF(2) was omitted and is essential for validating the constructions. In the revised manuscript we will insert a new subsection in §3 that supplies the full proof for both families. For the first family the proof proceeds by direct computation of the row inner products: each pair of rows from the quasi-dyadic blocks has even overlap because the generating vectors are chosen with even weight and the dyadic shifts preserve parity; the resulting sum is therefore 0 mod 2. For the second family an analogous argument uses the additional symmetry of the quasi-dyadic structure together with the chosen parameter constraints on the base matrix. We will include the explicit matrix multiplications for every parameter tuple appearing in Theorems 1–3 and in the numerical simulations, thereby confirming the dual-containing property before any cycle, distance or performance claims are derived. revision: yes
Circularity Check
No significant circularity; algebraic constructions and simulations are self-contained
full rationale
The paper defines two explicit families of quasi-dyadic matrices, proves via direct computation over GF(2) that the resulting parity-check matrices H satisfy the dual-containing condition H H^T = 0, derives cycle-structure and minimum-distance properties from the matrix form, and evaluates finite-length performance with standard binary BP decoding on the constructed codes. These steps rely on matrix algebra and external benchmark comparisons rather than fitting any parameter to the target error rates or reducing claims to self-citations. The performance results are empirical and falsifiable against other DC codes, so the derivation chain does not collapse to its inputs by construction.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Quasi-dyadic matrices can be chosen to satisfy the dual-containing condition for CSS codes while preserving sparsity.
Reference graph
Works this paper leans on
-
[1]
Quantum CSS LDPC codes with quasi-dyadic structure,
A. Baldelli, M. Battaglioni, and P. Santini, “Quantum CSS LDPC codes with quasi-dyadic structure,” inProc. 2025 13th International Symposium on Topics in Coding (ISTC), 2025, pp. 1–5
work page 2025
-
[2]
Quantum codes on a lattice with boundary
S. B. Bravyi and A. Y . Kitaev. “Quantum codes on a lattice with boundary. ”[Online]. Available: https://arxiv.org/abs/quant-ph/9811052
-
[3]
E. Dennis, A. Kitaev, A. Landahl, and J. Preskill, “Topological quantum memory,”Journal of Mathematical Physics, vol. 43, no. 9, pp. 4452–4505, 2002
work page 2002
-
[4]
Quantum error correction with imperfect gates,
A. Y . Kitaev, “Quantum error correction with imperfect gates,” in Quantum Communication, Computing, and Measurement, O. Hirota, A. S. Holevo, and C. M. Caves, Eds. Springer US, 1997, pp. 181–188
work page 1997
-
[5]
Quantum computations: Algorithms and error correc- tion,
A. Y . Kitaev, “Quantum computations: Algorithms and error correc- tion,”Russian Mathematical Surveys, vol. 52, no. 6, pp. 1191–1249, 1997
work page 1997
-
[6]
Projective plane and planar quantum codes,
M. H. Freedman and D. A. Meyer, “Projective plane and planar quantum codes,”Foundations of Computational Mathematics, vol. 1, pp. 325–332, 2001
work page 2001
-
[7]
C. Wang, J. Harrington, and J. Preskill, “Confinement-Higgs transition in a disordered gauge theory and the accuracy threshold for quantum memory,”Annals of Physics, vol. 303, no. 1, pp. 31–58, 2003
work page 2003
-
[8]
Surface codes: Towards practical large-scale quantum computation,
A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland, “Surface codes: Towards practical large-scale quantum computation,” Physical Review A, vol. 86, no. 3, pp. 032324-1–032324-48, 2012
work page 2012
-
[9]
Quantum error correction: An introductory guide,
J. Roffe, “Quantum error correction: An introductory guide,”Contem- porary Physics, vol. 60, no. 3, pp. 226–245, 2019
work page 2019
-
[10]
Sparse-graph codes for quantum error correction,
D. MacKay, G. Mitchison, and P. McFadden, “Sparse-graph codes for quantum error correction,”IEEE Transactions on Information Theory, vol. 50, no. 10, pp. 2315–2330, 2004
work page 2004
-
[11]
Quantum quasi-cyclic LDPC codes,
M. Hagiwara and H. Imai, “Quantum quasi-cyclic LDPC codes,” in Proc. 2007 IEEE International Symposium on Information Theory (ISIT), 2007, pp. 806–810
work page 2007
-
[12]
Fifteen years of quantum LDPC coding and improved decoding strategies,
Z. Babar, P. Botsinis, D. Alanis, S. X. Ng, and L. Hanzo, “Fifteen years of quantum LDPC coding and improved decoding strategies,” IEEE Access, vol. 3, pp. 2492–2519, 2015
work page 2015
-
[13]
J.-P. Tillich and G. Zémor, “Quantum LDPC codes with positive rate and minimum distance proportional to the square root of the blocklength,”IEEE Transactions on Information Theory, vol. 60, no. 2, pp. 1193–1202, 2014
work page 2014
-
[14]
A. Leverrier and G. Zémor, “Quantum Tanner codes,” inProc. 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), 2022, pp. 872–883
work page 2022
-
[15]
Quantum LDPC codes with almost linear minimum distance,
P. Panteleev and G. Kalachev, “Quantum LDPC codes with almost linear minimum distance,”IEEE Transactions on Information Theory, vol. 68, no. 1, pp. 213–229, 2022
work page 2022
-
[16]
Asymptotically good quantum and locally testable classical LDPC codes,
P. Panteleev and G. Kalachev, “Asymptotically good quantum and locally testable classical LDPC codes,” inProc. 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022, pp. 375–388. 13
work page 2022
-
[17]
Classical product code constructions for quantum Calderbank-Shor-Steane codes,
D. Ostrev, D. Orsucci, F. Lázaro, and B. Matuz, “Classical product code constructions for quantum Calderbank-Shor-Steane codes,”Quantum, vol. 8, pp. 1420–1446, 2024
work page 2024
-
[18]
High-threshold and low-overhead fault-tolerant quantum memory,
S. Bravyi, A. Cross, J. Gambetta, D. Maslov, P. Rall, and T. Yoder, “High-threshold and low-overhead fault-tolerant quantum memory,” Nature, vol. 627, pp. 778–782, 2024
work page 2024
-
[19]
Self-orthogonal quasi-cyclic codes,
R. Townsend and E. Weldon, “Self-orthogonal quasi-cyclic codes,” IEEE Transactions on Information Theory, vol. 13, no. 2, pp. 183–195, 1967
work page 1967
-
[20]
Degenerate quantum LDPC codes with good finite length performance,
P. Panteleev and G. Kalachev, “Degenerate quantum LDPC codes with good finite length performance,”Quantum, vol. 5, pp. 585–605, 2021
work page 2021
-
[21]
Reproducible families of codes and cryptographic applications,
P. Santini, E. Persichetti, and M. Baldi, “Reproducible families of codes and cryptographic applications,”Journal of Mathematical Cryptology, vol. 16, no. 1, pp. 20–48, 2022
work page 2022
-
[22]
Quasicyclic dyadic codes in Walsh- Hadamard domain,
B. Rajan and M. H. Lee, “Quasicyclic dyadic codes in Walsh- Hadamard domain,” inProc. IEEE International Symposium on In- formation Theory (ISIT), 2001, p. 37
work page 2001
-
[23]
Designing efficient dyadic operations for cryptographic applications,
G. Banegas, P. S. Barreto, E. Persichetti, and P. Santini, “Designing efficient dyadic operations for cryptographic applications,”Journal of Mathematical Cryptology, vol. 14, no. 1, pp. 95–109, 2020
work page 2020
-
[24]
Codes based on dyadic matrices and their generalizations,
M. Martinez, T. Pllaha, and C. A. Kelley, “Codes based on dyadic matrices and their generalizations,”Advances in Mathematics of Com- munications, vol. 19, no. 5, pp. 1277–1300, 2025
work page 2025
-
[25]
Stabilizer Codes and Quantum Error Correction
D. Gottesman, “Stabilizer codes and quantum error correction,” Ph.D. dissertation, California Institute of Technology, 1997. [Online]. Avail- able: https://arxiv.org/abs/quant-ph/9705052
work page internal anchor Pith review Pith/arXiv arXiv 1997
-
[26]
M. Pacenti and B. Vasi ´c, “Quantum Margulis codes,” inProc. 2024 60th Annual Allerton Conference on Communication, Control, and Computing, 2024, pp. 1–5
work page 2024
-
[27]
Leveraging automorphisms of quantum codes for fault-tolerant quantum computation,
M. Grassl and M. Roetteler, “Leveraging automorphisms of quantum codes for fault-tolerant quantum computation,” inProc. IEEE Interna- tional Symposium on Information Theory (ISIT), 2013, pp. 534–538
work page 2013
-
[28]
M. A. Nielsen and I. L. Chuang,Quantum Computation and Quantum Information: 10th Anniversary Edition. Cambridge University Press, 2010
work page 2010
-
[29]
Good quantum error-correcting codes exist,
A. R. Calderbank and P. W. Shor, “Good quantum error-correcting codes exist,”Physical Review A, vol. 54, no. 2, pp. 1098–1105, 1996
work page 1996
-
[30]
Error correcting codes in quantum theory,
A. M. Steane, “Error correcting codes in quantum theory,”Physical Review Letters, vol. 77, no. 5, pp. 793–797, 1996
work page 1996
-
[31]
Low-density parity-check codes,
R. Gallager, “Low-density parity-check codes,”IRE Transactions on Information Theory, vol. 8, no. 1, pp. 21–28, 1962
work page 1962
-
[32]
A recursive approach to low complexity codes,
M. R. Tanner, “A recursive approach to low complexity codes,”IEEE Transactions on Information Theory, vol. 27, no. 5, pp. 533–547, 1981
work page 1981
-
[33]
The theory of error correcting codes (F. J. MacWilliams and N. J. A. Sloane),
H. F. Mattson Jr., “The theory of error correcting codes (F. J. MacWilliams and N. J. A. Sloane),”SIAM Review, vol. 22, no. 4, pp. 513–519, 1980
work page 1980
-
[34]
On a family of circulant matrices for quasi-cyclic low-density generator matrix codes,
M. Baldi, F. Bambozzi, and F. Chiaraluce, “On a family of circulant matrices for quasi-cyclic low-density generator matrix codes,”IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 6052–6067, 2011
work page 2011
-
[35]
Quantum Kronecker sum-product low-density parity-check codes with finite rate,
A. A. Kovalev and L. P. Pryadko, “Quantum Kronecker sum-product low-density parity-check codes with finite rate,”Physical Review A, vol. 88, no. 1, pp. 1–13, 2013
work page 2013
-
[36]
Minimum distance and other properties of quasi-dyadic parity check codes,
M. Martinez and C. A. Kelley, “Minimum distance and other properties of quasi-dyadic parity check codes,” inProc. IEEE International Symposium on Information Theory (ISIT), 2022, pp. 2118–2123
work page 2022
-
[37]
Quasi-cyclic low-density parity-check codes from circulant permutation matrices,
M. P. C. Fossorier, “Quasi-cyclic low-density parity-check codes from circulant permutation matrices,”IEEE Transactions on Information Theory, vol. 50, no. 8, pp. 1788–1793, 2004
work page 2004
-
[38]
Reduced complexity iterative decoding of low-density parity check codes based on belief propagation,
M. Fossorier, M. Mihaljevic, and H. Imai, “Reduced complexity iterative decoding of low-density parity check codes based on belief propagation,”IEEE Transactions on Communications, vol. 47, no. 5, pp. 673–680, 1999
work page 1999
-
[39]
Source code for approximating the mindist problem of LDPC codes
D. J. C. MacKay. “Source code for approximating the mindist problem of LDPC codes. ”[Online]. Available: http://www.inference.eng.cam. ac.uk/mackay/MINDIST%5C_ECC.html
-
[40]
Au- tomorphism ensemble decoding of quantum LDPC codes
S. Koutsioumpas, H. Sayginel, M. Webster, and D. E. Browne. “Au- tomorphism ensemble decoding of quantum LDPC codes. ”[Online]. Available: https://arxiv.org/abs/2503.01738 APPENDIX Let us generalize the results provided in Section IV-A for wď4to the case4ăwău. For the following theoretical results, the parameteruis chosen as a power of2. Letią0be the even...
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