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This research demonstrates that relaxing the constraint of pure-to-pure state encoding in quantum error correction can significantly enhance entanglement fidelity and robustness against noise. By proving that higher-rank encoders are necessary for optimal recovery under specific noise families, the study offers a critical theoretical advancement for building more reliable fault-tolerant quantum systems.
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High-Rank Encoding Can Improve Approximate Quantum Error Correction

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arXiv:2609.00778v1 Announce Type: new Abstract: Conventional quantum-code constructions encode pure logical states as pure code states, but this restriction can sacrifice performance. We show that intrinsic encoding randomness can improve optimal entanglement fidelity. We bound the loss from imposing a rank-one encoder and prove it is at most quadratic near perfect recovery after joint optimization. The optimized advantage survives small noise perturbations. An explicit noise family requires higher-rank encoders arbitrarily close to perfect recovery, with every optimal encoder mapping pure inputs to mixed code states.

Abstract:Conventional quantum-code constructions encode pure logical states as pure code states, but this restriction can sacrifice performance. We show that intrinsic encoding randomness can improve optimal entanglement fidelity. We bound the loss from imposing a rank-one encoder and prove it is at most quadratic near perfect recovery after joint optimization. The optimized advantage survives small noise perturbations. An explicit noise family requires higher-rank encoders arbitrarily close to perfect recovery, with every optimal encoder mapping pure inputs to mixed code states.

arXiv:2609.00778 [quant-ph]

(or arXiv:2609.00778v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.00778 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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