SDP bounds on quantum codes: rational certificates
arXiv QuantumArchived Mar 23, 2026✓ Full text saved
arXiv:2603.19901v1 Announce Type: new Abstract: A fundamental problem in quantum coding theory is to determine the maximum size of quantum codes of given block length and distance. A recent work introduced bounds based on semidefinite programming, strengthening the well-known quantum linear programming bounds. However, floating-point inaccuracies prevent the extraction of rigorous non-existence proofs from the numerical methods. Here, we address this by providing rational infeasibility certifica
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Quantum Physics
[Submitted on 20 Mar 2026]
SDP bounds on quantum codes: rational certificates
Gerard Anglès Munné, Felix Huber
A fundamental problem in quantum coding theory is to determine the maximum size of quantum codes of given block length and distance. A recent work introduced bounds based on semidefinite programming, strengthening the well-known quantum linear programming bounds. However, floating-point inaccuracies prevent the extraction of rigorous non-existence proofs from the numerical methods. Here, we address this by providing rational infeasibility certificates for a range of quantum codes. Using a clustered low-rank solver with heuristic rounding to algebraic expressions, we can improve upon 18 upper bounds on the maximum size of n-qubit codes with 6 \leq n \leq 19. Our work highlights the practicality and scalability of semidefinite programming for quantum coding bounds.
Comments: 16
Subjects: Quantum Physics (quant-ph); Information Theory (cs.IT)
Cite as: arXiv:2603.19901 [quant-ph]
(or arXiv:2603.19901v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.19901
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Submission history
From: Gerard Anglès Munné [view email]
[v1] Fri, 20 Mar 2026 12:33:38 UTC (125 KB)
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