SDP bounds on quantum codes
Gerard Angl\`es Munn\'e, Andrew Nemec, Felix Huber

TL;DR
This paper introduces a comprehensive semidefinite programming hierarchy to determine the existence of quantum codes with specific parameters, extending classical bounds and applying to general quantum codes beyond stabilizer types.
Contribution
It develops a complete SDP hierarchy based on state polynomial optimization for quantum codes, applicable to all code types, and derives quantum analogs of classical bounds.
Findings
Reproduces Lovász bound for quantum codes.
Recovers quantum Delsarte bound via symmetrization.
Proves non-existence of certain quantum codes such as (7,1,4), (8,9,3), and (10,5,4).
Abstract
This paper provides a semidefinite programming hierarchy based on state polynomial optimization to determine the existence of quantum codes with given parameters. The hierarchy is complete, in the sense that a code exists if and only if every level of the hierarchy is feasible. It is not limited to stabilizer codes and thus is applicable generally. While the machinery is formally dimension-free, we restrict it to qubit codes through quasi-Clifford algebras. We derive the quantum analog of a range of classical results: first, from an intermediate level a Lov\'asz bound for self-dual quantum codes is recovered. Second, a symmetrization of a minor variation of this Lov\'asz bound recovers the quantum Delsarte bound. Third, a symmetry reduction using the Terwilliger algebra leads to semidefinite programming bounds of size . With this we give an alternative…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
