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This paper presents a novel algebraic framework for bosonic quantum error-correcting codes, specifically targeting photon-gain and loss errors in continuous-variable systems. By leveraging multivariate polynomial symmetries, the authors derive explicit ellipsoidal and hexagonal code structures that offer improved noise resilience compared to standard spherical or cubature benchmarks. The work advances the theoretical toolkit for fault-tolerant quantum communication and computation in bosonic modes.
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BARC codes: general polynomial framework for coherent-state superposition codes

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arXiv:2610.03663v1 Announce Type: new Abstract: We introduce an algebraic framework for constructing a new class of quantum error-correcting codes, bosonic algebraically-restricted constellation (BARC) codes. The code states are finite superpositions of coherent-state constellations constrained by symmetries of solution sets to multivariate complex polynomial systems. The constraints are associated with photon-gain and photon-loss errors, thereby imposing approximate Knill--Laflamme conditions for such errors. For equally-weighted constellation points, we derive upper bounds on the minimum geometric separation between points, indicating how noise-resilient the code is. In the single-mode case, we characterize degree-two polynomial solution sets using an orthogonal group symmetry to obtain explicit ellipsoidal and hexagonal BARC codes. We benchmark representative instances of these families against spherical and cubature codes using the entanglement fidelity with optimal recovery under pure-loss noise.

Abstract:We introduce an algebraic framework for constructing a new class of quantum error-correcting codes, bosonic algebraically-restricted constellation (BARC) codes. The code states are finite superpositions of coherent-state constellations constrained by symmetries of solution sets to multivariate complex polynomial systems. The constraints are associated with photon-gain and photon-loss errors, thereby imposing approximate Knill--Laflamme conditions for such errors. For equally-weighted constellation points, we derive upper bounds on the minimum geometric separation between points, indicating how noise-resilient the code is. In the single-mode case, we characterize degree-two polynomial solution sets using an orthogonal group symmetry to obtain explicit ellipsoidal and hexagonal BARC codes. We benchmark representative instances of these families against spherical and cubature codes using the entanglement fidelity with optimal recovery under pure-loss noise.

arXiv:2610.03663 [quant-ph]

(or arXiv:2610.03663v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.03663 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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