REVIEW 7 minor 58 references
For stabilizer codes over Pauli channels, sending above the code's own coherent information forces entanglement fidelity to decay exponentially, so constant tolerated error buys no rate.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
2026-07-30 21:48 UTC pith:2ZESKEL4
load-bearing objection Real strong converse inside the stabilizer class for product Pauli channels, with an explicit exponent and a clean win over PPT/Rains on antidegradable depolarizing noise.
A strong converse for stabilizer codes over Pauli channels via the blowing-up lemma
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Within the class of full-sector stabilizer codes over product Pauli channels, any scheme whose rate exceeds the coherent information of its own input state has entanglement fidelity decaying as exp(−n E(γ)), where γ is the overshoot rate and E(γ) = (1/2)[g^{-1}(γ/2)]² > 0. Consequently the ε-quantum capacity of the class equals the vanishing-error stabilizer rate for every ε ∈ (0,1), and is zero whenever every factor is antidegradable.
What carries the argument
Exact fidelity formula for stabilizer codes: optimal entanglement fidelity equals the measure of the maximum-likelihood event A_ML in the product Pauli-error space. That identity turns decoding success into a classical set to which the blowing-up lemma applies; the resulting low-weight flag is then charged at its entropy against the coherent information via a one-shot converse on the flagged channel.
Load-bearing premise
The code space must fill an entire joint eigenspace of the stabilizer group; only then are branch fidelities binary and optimal fidelity exactly the mass of one event in the error space.
What would settle it
Exhibit a sequence of full-sector stabilizer codes over a fixed Pauli channel whose rate stays a fixed γ above the code's coherent information while entanglement fidelity remains bounded below by a positive constant independent of block length.
If this is right
- Among stabilizer codes, tolerating any fixed constant error does not raise the achievable quantum rate above the vanishing-error stabilizer rate.
- For every antidegradable Pauli factor (including depolarizing noise with p ∈ [1/4, 3/4]) the stabilizer ε-capacity is zero for all ε < 1, with an explicit exponential fidelity bound.
- Partial-transposition / Rains-type bounds cannot certify this zero-rate strong converse for depolarizing noise on p ∈ [1/4, 1/2), so the result is strictly stronger than PPT methods inside the stabilizer class.
- The same exponential bound extends to shared-randomness mixtures, coherent superpositions of subexponentially many orthogonal stabilizer codes, and exponentially small encoder perturbations.
- No encoder of any kind can carry a near-deterministic core of non-negligible mass once its rate exceeds its own coherent information.
Where Pith is reading between the lines
- If the open encoder-side extraction statement (Problem 7.3) holds, the strong converse would extend from stabilizer codes to all isometrically encoded schemes over memoryless Pauli channels.
- The erasure channel is the natural next target: its classical pattern is handed to the receiver, so branch fidelities are channel-side and no-cloning may force the sharpness that stabilizer structure supplies here.
- Small-blocklength numerical searches for coherently hedging codes that keep constant fidelity above the n-letter coherent information would directly test whether fidelity can survive without heavy cores.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proves a strong converse for quantum communication over arbitrary products of (not necessarily identical) qubit Pauli channels, restricted to the class of stabilizer coding schemes whose code space is a full joint eigenspace of the stabilizer group, with arbitrary isometric encoder and arbitrary decoder. The central result (Theorem 6.5) is that any such (n,k) scheme with k ≥ I_c(V) + γn has entanglement fidelity F ≤ exp(−nE(γ)) with E(γ) = (1/2)[g^{−1}(γ/2)]² > 0, beyond an explicit threshold n_0(γ). The proof rests on: (i) an exact identity (Proposition 3.1) between optimal fidelity and the measure of the maximum-likelihood event A_ML in the product error space, via the sum rule Σ_ℓ f_{s,ℓ} = 1 (Eq. (26)), which in turn rests on the completeness of the logical Pauli basis on a full sector (Lemma 2.1, twirl identity (16)); (ii) a finite-blocklength blowing-up lemma (Lemma 4.1) derived from McDiarmid's inequality; (iii) a flagged-channel construction whose classical flag is charged at its entropy against coherent information (Lemmas 5.1–5.2); and (iv) a one-shot converse via twirling to an isotropic state (Lemma 5.3). Corollaries give Q_ε = Q_stab for all ε ∈ (0,1) within the class (6.7), zero capacity for antidegradable factors including depolarizing p ∈ [1/4,3/4] (6.6), and extensions to mixtures, orthogonal superpositions, and perturbations (6.9–6.11). Section 7 proves the full-sector assumption cannot be removed decoder-side (Proposition 7.2) and isolates the enc
Significance. If correct, this is the first strong converse with an explicit exponent for quantum communication over Pauli channels in any nontrivial class, and — as the paper demonstrates in Remark 8.2 — it certifies a strong converse in the antidegradable window p ∈ [1/4,1/2) where all PPT/Rains-type relaxations provably cannot, even after regularization. Particular strengths: the argument is fully explicit and finite-blocklength (thresholds n_0(γ), n_1(γ) given in closed form); it requires no additivity assumptions and no semidefinite relaxations; it covers non-memoryless product noise; the master inequality (Theorem 6.1) and Theorem 6.2 are stated for arbitrary encoders, cleanly separating what is general from what is stabilizer-specific; and Proposition 7.2 constructively proves the scope restriction is intrinsic to the method rather than an artifact, converting a potential objection into a sharp open problem (7.3) with a stated consequence (the full strong converse for memoryless Pauli channels). The qudit extension (Appendix A) is carried through with careful attention to where the F_d-linear structure is used. I verified the load-bearing chain line by line — the sum rule (26) via (16) an
minor comments (7)
- [§3, proof of Prop. 3.1] Typo in the proof of Proposition 3.1: "The conditional fidelity oneis therefore 1" should read "one is".
- [§2.3, Eq. (12) and passim] Notation for the syndrome map alternates between "σsyn" and "σ syn" (e.g., Eq. (12) vs. §2.3 text and Remark 3.2). Please uniformize.
- [Corollary 6.7] In Corollary 6.7 the identification Q_ε = Q_stab uses Hamada's achievability [43] for the lower bound; it would help the reader to state explicitly that Hamada's concatenated stabilizer codes satisfy the full-sector convention of Definition 2.3 (they do), so that the classes on the two sides of (61) literally coincide.
- [Corollary 6.10, Eq. (64)] In Eq. (64) the double-bar notation for the ℓ² norm over Kraus indices is nonstandard and the first inequality (triangle inequality applied to the vector of amplitudes ⟨Φ|(I⊗M_a)ψ_e⟩ indexed by a) deserves one clause of explanation.
- [References] Several references are missing terminal periods ([15], [16], [17], [34], [35], [39], [44], [46], [51], [55], [57]); a uniform pass over the bibliography is warranted.
- [Theorem 6.5] The constant C(γ) = e^{n_0(γ)E(γ)} in Theorem 6.5 grows very rapidly as γ ↓ 0; a brief numerical remark (e.g., for the depolarizing channel at a representative γ) on where the bound becomes nontrivial would help readers gauge its finite-blocklength content, complementing the asymptotic statement.
- [Remark 8.2] In Remark 8.2 the step "R(ρ_p^{⊗n}) ≥ n E_D(ρ_p)" uses superadditivity of distillable entanglement under tensoring; this is standard but currently implicit, and one line citing it would make the regularization argument self-contained.
Circularity Check
No circularity: strong converse is derived from stabilizer sector structure, classical blowing-up, and entropic flag accounting, not from fitted inputs or self-justifying definitions.
full rationale
The load-bearing chain is self-contained and non-circular. Proposition 3.1 identifies optimal fidelity with the mass of the ML event A_ML via the logical twirl and the sum rule on branch fidelities; that identity follows from the full-sector stabilizer algebra (Lemma 2.1), not from assuming the strong converse. Blowing-up (Lemma 4.1) is McDiarmid applied to Hamming distance on a product measure. The flagged channel charges side information at most ng(δ)+1 (Lemma 5.2) and the one-shot converse (Lemma 5.3) is an isotropic twirl plus data processing. Combining these yields Theorems 6.1–6.5 with an explicit exponent fixed by g^{-1}(γ/2), with no free parameters fitted to capacity data. Q_stab is imported from Hamada only as the matching vanishing-error benchmark for the ε-capacity corollary; the exponential decay above I_c(V) does not assume Hamada’s rate. Author self-citations ([15], [34], [58]) supply context or continuity tools and are not uniqueness theorems that force the claim. Scope limits (full-sector assumption, Problem 7.3) are stated openly rather than smuggled in. No self-definitional loop, fitted-as-prediction step, or renaming of a known pattern constitutes the result.
Axiom & Free-Parameter Ledger
axioms (6)
- standard math Blowing-up / McDiarmid bounded-differences concentration for product measures on Hamming space (Lemma 4.1).
- domain assumption Stabilizer sector structure: isotropic S gives 2^{n-k} equal-dimensional joint eigenspaces permuted by Pauli errors; logical operators form a complete orthogonal basis on a full sector (Lemma 2.1).
- domain assumption Noise is a product of (possibly non-identical) single-qubit Pauli channels, so the error measure μ is a product measure.
- standard math Coherent information one-shot converse after Haar twirl to an isotropic state (Lemma 5.3), using concavity of conditional entropy and data processing.
- domain assumption No free two-way classical communication between encoder and decoder.
- standard math Antidegradable channels have Q^{(n)}=0 by data-processing versus complementary output (used in Corollary 6.6).
invented entities (2)
-
θ-core (set of error patterns on which some decoder has branch fidelity ≥1-θ)
no independent evidence
-
Flagged channel M_δ appending a minimal-weight displacement flag into the core
no independent evidence
Cite this review
Pith. "Pith review of A strong converse for stabilizer codes over Pauli channels via the blowing-up lemma." pith.science (2026). https://pith.science/paper/2ZESKEL4
@misc{pith2026260723450,
author = {Pith},
title = {Pith review of: A strong converse for stabilizer codes over Pauli channels via the blowing-up lemma},
year = {2026},
howpublished = {\url{https://pith.science/paper/2ZESKEL4}},
note = {Machine review of arXiv:2607.23450}
}
read the original abstract
We prove a strong converse for quantum communication over Pauli channels within the class of stabilizer codes. If a code whose code space is a full joint eigenspace of a stabilizer group transmits above the coherent information of its own input state, its entanglement fidelity decays exponentially in the block length; the encoder may be any isometry onto that space and the decoder any channel. For memoryless channels this determines the $\varepsilon$-quantum capacity of the class for every $\varepsilon < 1$, so that tolerating a constant error buys no rate; for antidegradable channels, such as the depolarizing channel with error probability $p \in [1/4, 3/4]$, that capacity is zero, while for $p \in [1/4,1/2)$ partial-transposition bounds provably cannot certify a strong converse. The proof uses neither additivity assumptions nor semidefinite relaxations: optimal decoding succeeds precisely on an event in a product probability space, so the blowing-up lemma of Ahlswede, G\'acs and K\"orner applies, and the side information it produces is charged against the coherent information. The argument also constrains near-deterministic decoding for codes of any kind, and we isolate the encoder-side statement that would extend it to all of them.
Reference graph
Works this paper leans on
-
[1]
Capacity of the noisy quantum channel,
S. Lloyd, “Capacity of the noisy quantum channel,” Physical Review A55, 1613–1622 (1997)
1997
-
[2]
The quantum channel capacity and coherent information,
P. W. Shor, “The quantum channel capacity and coherent information,” Lecture notes, MSRI Work- shop on Quantum Computation (2002)
2002
-
[3]
The private classical capacity and quantum capacity of a quantum channel,
I. Devetak, “The private classical capacity and quantum capacity of a quantum channel,” IEEE Transactions on Information Theory51, 44–55 (2005)
2005
-
[4]
Sending entanglement through noisy quantum channels,
B. Schumacher, “Sending entanglement through noisy quantum channels,” Physical Review A54, 2614–2628 (1996)
1996
-
[5]
On quantum fidelities and channel capacities,
H. Barnum, E. Knill, and M. A. Nielsen, “On quantum fidelities and channel capacities,” IEEE Transactions on Information Theory46, 1317–1329 (2000)
2000
-
[6]
Quantum-channel capacity of very noisy channels,
D. P. DiVincenzo, P. W. Shor, and J. A. Smolin, “Quantum-channel capacity of very noisy channels,” Physical Review A57, 830–839 (1998)
1998
-
[7]
Degenerate quantum codes for Pauli channels,
G. Smith and J. A. Smolin, “Degenerate quantum codes for Pauli channels,” Physical Review Letters 98, 030501 (2007)
2007
-
[8]
Unbounded number of channel uses may be required to detect quantum capacity,
T. Cubitt, D. Elkouss, W. Matthews, M. Ozols, D. P´ erez-Garc ´ ıa, and S. Strelchuk, “Unbounded number of channel uses may be required to detect quantum capacity,” Nature Communications6, 6739 (2015)
2015
-
[9]
Bounds on conditional probabilities with applications in multi-user communication,
R. Ahlswede, P. G´ acs, and J. K¨ orner, “Bounds on conditional probabilities with applications in multi-user communication,” Zeitschrift f¨ ur Wahrscheinlichkeitstheorie und verwandte Gebiete34, 157–177 (1976)
1976
-
[10]
A simple proof of the blowing-up lemma,
K. Marton, “A simple proof of the blowing-up lemma,” IEEE Transactions on Information Theory 32, 445–446 (1986). 23
1986
-
[11]
Bounding ¯d-distance by informational divergence: a method to prove measure concen- tration,
K. Marton, “Bounding ¯d-distance by informational divergence: a method to prove measure concen- tration,” Annals of Probability24, 857–866 (1996)
1996
-
[12]
On the method of bounded differences,
C. McDiarmid, “On the method of bounded differences,” inSurveys in Combinatorics, London Mathematical Society Lecture Note Series141, 148–188, Cambridge University Press (1989)
1989
-
[13]
Csisz´ ar and J
I. Csisz´ ar and J. K¨ orner,Information Theory: Coding Theorems for Discrete Memoryless Systems, 2nd ed., Cambridge University Press (2011)
2011
-
[14]
‘Pretty strong’ converse for the quantum capacity of degradable chan- nels,
C. Morgan and A. Winter, “ ‘Pretty strong’ converse for the quantum capacity of degradable chan- nels,” IEEE Transactions on Information Theory60, 317–333 (2014)
2014
-
[15]
Strong converse rates for quantum communication,
M. Tomamichel, M. M. Wilde, and A. Winter, “Strong converse rates for quantum communication,” IEEE Transactions on Information Theory63, 715–727 (2017)
2017
-
[16]
Semidefinite programming converse bounds for quantum commu- nication,
X. Wang, K. Fang, and R. Duan, “Semidefinite programming converse bounds for quantum commu- nication,” IEEE Transactions on Information Theory65, 2583–2592 (2019)
2019
-
[17]
Amortization does not enhance the max-Rains information of a quantum channel,
M. Berta and M. M. Wilde, “Amortization does not enhance the max-Rains information of a quantum channel,” New Journal of Physics20, 053044 (2018)
2018
-
[18]
Strong converse for the quantum capacity of the erasure channel for almost all codes,
M. M. Wilde and A. Winter, “Strong converse for the quantum capacity of the erasure channel for almost all codes,” Proceedings of the 9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014), LIPIcs vol. 27, 52–66 (2014)
2014
-
[19]
Resource theory of unextendibility and nonasymp- totic quantum capacity,
E. Kaur, S. Das, M. M. Wilde, and A. Winter, “Resource theory of unextendibility and nonasymp- totic quantum capacity,” Physical Review A104, 022401 (2021)
2021
-
[20]
On strong converse bounds for the private and quantum capacities of anti-degradable channels,
Z. B. Khanian and C. Hirche, “On strong converse bounds for the private and quantum capacities of anti-degradable channels,” arXiv:2507.15661 (2025)
Pith/arXiv arXiv 2025
-
[21]
Evaluating capacities of bosonic Gaussian channels,
A. S. Holevo and R. F. Werner, “Evaluating capacities of bosonic Gaussian channels,” Physical Review A63, 032312 (2001)
2001
-
[22]
Bound on distillable entanglement,
E. M. Rains, “Bound on distillable entanglement,” Physical Review A60, 179–184 (1999)
1999
-
[23]
A semidefinite program for distillable entanglement,
E. M. Rains, “A semidefinite program for distillable entanglement,” IEEE Transactions on Informa- tion Theory47, 2921–2933 (2001)
2001
-
[24]
Purifi- cation of noisy entanglement and faithful teleportation via noisy channels,
C. H. Bennett, G. Brassard, S. Popescu, B. Schumacher, J. A. Smolin, and W. K. Wootters, “Purifi- cation of noisy entanglement and faithful teleportation via noisy channels,” Physical Review Letters 76, 722–725 (1996)
1996
-
[25]
Mixed-state entanglement and quantum error correction,
C. H. Bennett, D. P. DiVincenzo, J. A. Smolin, and W. K. Wootters, “Mixed-state entanglement and quantum error correction,” Physical Review A54, 3824–3851 (1996)
1996
-
[26]
Distillation of secret key and entanglement from quantum states,
I. Devetak and A. Winter, “Distillation of secret key and entanglement from quantum states,” Proceedings of the Royal Society A461, 207–235 (2005)
2005
-
[27]
The capacity of a quantum channel for simultaneous transmission of classical and quantum information,
I. Devetak and P. W. Shor, “The capacity of a quantum channel for simultaneous transmission of classical and quantum information,” Communications in Mathematical Physics256, 287–303 (2005)
2005
-
[28]
A continuity property of the entropy density for spin lattice systems,
M. Fannes, “A continuity property of the entropy density for spin lattice systems,” Communications in Mathematical Physics31, 291–294 (1973)
1973
-
[29]
A sharp continuity estimate for the von Neumann entropy,
K. M. R. Audenaert, “A sharp continuity estimate for the von Neumann entropy,” Journal of Physics A: Mathematical and Theoretical40, 8127–8136 (2007)
2007
-
[30]
Continuity of quantum conditional information,
R. Alicki and M. Fannes, “Continuity of quantum conditional information,” Journal of Physics A: Mathematical and General37, L55–L57 (2004). 24
2004
-
[31]
Tight uniform continuity bounds for quantum entropies: conditional entropy, relative entropy distance and energy constraints,
A. Winter, “Tight uniform continuity bounds for quantum entropies: conditional entropy, relative entropy distance and energy constraints,” Communications in Mathematical Physics347, 291–313 (2016)
2016
-
[32]
A tight uniform continuity bound for equivocation,
M. A. Alhejji and G. Smith, “A tight uniform continuity bound for equivocation,” in Proceed- ings of the IEEE International Symposium on Information Theory (ISIT), 2270–2274 (2020), arXiv:1909.00787
Pith/arXiv arXiv 2020
-
[33]
Optimal uniform continuity bound for conditional entropy of classical–quantum states,
M. M. Wilde, “Optimal uniform continuity bound for conditional entropy of classical–quantum states,” Quantum Information Processing19, 61 (2020)
2020
-
[34]
Continuity of entropies via integral representations,
M. Berta, L. Lami, and M. Tomamichel, “Continuity of entropies via integral representations,” IEEE Transactions on Information Theory71, 1896–1908 (2025)
1908
-
[35]
Continuity bounds for quantum entropies arising from a fundamental entropic inequality,
K. Audenaert, B. Bergh, N. Datta, M. G. Jabbour, ´A. Capel, and P. Gondolf, “Continuity bounds for quantum entropies arising from a fundamental entropic inequality,” IEEE Transactions on Infor- mation Theory71, 7029–7038 (2025)
2025
-
[36]
Cryptographic distinguishability measures for quantum-mechanical states,
C. A. Fuchs and J. van de Graaf, “Cryptographic distinguishability measures for quantum-mechanical states,” IEEE Transactions on Information Theory45, 1216–1227 (1999)
1999
-
[37]
D. Gottesman,Stabilizer Codes and Quantum Error Correction, PhD thesis, Caltech (1997), arXiv:quant-ph/9705052
Pith/arXiv arXiv 1997
-
[38]
Nonbinary quantum stabilizer codes,
A. Ashikhmin and E. Knill, “Nonbinary quantum stabilizer codes,” IEEE Transactions on Informa- tion Theory47, 3065–3072 (2001)
2001
-
[39]
Coherent information for CSS codes under decoherence,
R. Niwa and J. Y. Lee, “Coherent information for CSS codes under decoherence,” Physical Review A111, 032402 (2025)
2025
-
[40]
Stabilizer-code channel transforms beyond repetition codes for improved hashing bounds,
T. Kann, M. R. Bloch, S. Kudekar, and R. Urbanke, “Stabilizer-code channel transforms beyond repetition codes for improved hashing bounds,” arXiv:2601.15505 (2026)
Pith/arXiv arXiv 2026
-
[41]
Limits for the decoding error probability when linear codes are used in memoryless channels,
E. M. Gabidulin, “Limits for the decoding error probability when linear codes are used in memoryless channels,” Problems of Information Transmission3, 43–48 (1967)
1967
-
[42]
Enhanced quantum capacity thresholds from symmetry,
A. Agarwal, A. R. Kalra, S. Lee, D. Leung, L. Schaeffer, P. Sinha, and G. Smith, “Enhanced quantum capacity thresholds from symmetry,” arXiv:2605.09138 (2026)
Pith/arXiv arXiv 2026
-
[43]
Information rates achievable with algebraic codes on quantum discrete memory- less channels,
M. Hamada, “Information rates achievable with algebraic codes on quantum discrete memory- less channels,” IEEE Transactions on Information Theory51, 4263–4277 (2005), arXiv:quant- ph/0207113
arXiv 2005
-
[44]
Nonbinary stabilizer codes over finite fields,
A. Ketkar, A. Klappenecker, S. Kumar, and P. K. Sarvepalli, “Nonbinary stabilizer codes over finite fields,” IEEE Transactions on Information Theory52, 4892–4914 (2006)
2006
-
[45]
Optimal universal and state-dependent quantum cloning,
D. Bruß, D. P. DiVincenzo, A. Ekert, C. A. Fuchs, C. Macchiavello, and J. A. Smolin, “Optimal universal and state-dependent quantum cloning,” Physical Review A57, 2368–2378 (1998)
1998
-
[46]
Approximate degradable quantum channels,
D. Sutter, V. B. Scholz, A. Winter, and R. Renner, “Approximate degradable quantum channels,” IEEE Transactions on Information Theory63, 7832–7844 (2017)
2017
-
[47]
Quantum and private capacities of low-noise channels,
F. Leditzky, D. Leung, and G. Smith, “Quantum and private capacities of low-noise channels,” Physical Review Letters120, 160503 (2018)
2018
-
[48]
Topological quantum memory,
E. Dennis, A. Kitaev, A. Landahl, and J. Preskill, “Topological quantum memory,” Journal of Mathematical Physics43, 4452–4505 (2002). 25
2002
-
[49]
Authentication of quantum mes- sages,
H. Barnum, C. Cr´ epeau, D. Gottesman, A. Smith, and A. Tapp, “Authentication of quantum mes- sages,” Proceedings of the 43rd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2002), pp. 449–458 (2002)
2002
-
[50]
A quantum generalisation of Talagrand’s inequality,
T. J. Osborne and A. Winter, “A quantum generalisation of Talagrand’s inequality,” on- line research note (2009), available athttps://tjoresearchnotes.wordpress.com/2009/02/13/ a-quantum-generalisation-of-talagrands-inequality/
2009
-
[51]
Quantum Talagrand, KKL and Friedgut’s theorems and the learnability of quantum Boolean functions,
C. Rouz´ e, M. Wirth, and H. Zhang, “Quantum Talagrand, KKL and Friedgut’s theorems and the learnability of quantum Boolean functions,” Communications in Mathematical Physics405, 95 (2024)
2024
-
[52]
Quantum Talagrand-type inequalities via variance decay,
F. Chang and P. Li, “Quantum Talagrand-type inequalities via variance decay,” arXiv:2601.01900 (2026)
arXiv 2026
-
[53]
Inverse and stability theorems for approximate representations of finite groups,
W. T. Gowers and O. Hatami, “Inverse and stability theorems for approximate representations of finite groups,” Sbornik: Mathematics208, 1784–1817 (2017), arXiv:1510.04085
Pith/arXiv arXiv 2017
-
[54]
General conditions for approximate quantum error correction and near- optimal recovery channels,
C. B´ eny and O. Oreshkov, “General conditions for approximate quantum error correction and near- optimal recovery channels,” Physical Review Letters104, 120501 (2010)
2010
-
[55]
Codeword stabilized quantum codes,
A. Cross, G. Smith, J. A. Smolin, and B. Zeng, “Codeword stabilized quantum codes,” IEEE Trans- actions on Information Theory55, 433–438 (2009)
2009
-
[56]
A nonadditive quantum code,
E. M. Rains, R. H. Hardin, P. W. Shor, and N. J. A. Sloane, “A nonadditive quantum code,” Physical Review Letters79, 953–954 (1997)
1997
-
[57]
Nonadditive quantum error-correcting code,
S. Yu, Q. Chen, C. H. Lai, and C. H. Oh, “Nonadditive quantum error-correcting code,” Physical Review Letters101, 090501 (2008)
2008
-
[58]
Quantum coding with finite resources,
M. Tomamichel, M. Berta, and J. M. Renes, “Quantum coding with finite resources,” Nature Com- munications7, 11419 (2016). 26
2016
This paper was first reviewed by grok-4.5 on July 30, 2026.
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