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This paper advances quantum communication theory by deriving closed-form capacity formulas for teleportation over noisy relay channels with orthogonal links. The authors propose an optimal compress-forward coding scheme that leverages side information on Pauli errors to mitigate noise before decoding, establishing rigorous converse bounds to prove optimality. These theoretical results are critical for designing robust future quantum internet architectures where intermediate nodes must handle imperfect transmission conditions.
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Quantum Teleportation Over a Noisy Relay Channel

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arXiv:2609.23459v1 Announce Type: new Abstract: Quantum teleportation and Bell measurements are considered in a noisy relay setting. We introduce two quantum relay-channel models with closed-form capacity formulas, motivated by the canonical quantum communication protocols of teleportation and superdense coding. In both models, the sender transmits a qubit, while the relay observes side information about the Pauli errors that occur in the channel and communicates with the receiver through an orthogonal rate-limited link. We develop a compress-forward coding scheme in which the relay compresses the Pauli-error sequence into bins and sends the bin index to the receiver. The receiver uses this partial error information to reduce the effective channel noise before quantum decoding. We show that this strategy is optimal by establishing matching converse bounds for both models.

Abstract:Quantum teleportation and Bell measurements are considered in a noisy relay setting. We introduce two quantum relay-channel models with closed-form capacity formulas, motivated by the canonical quantum communication protocols of teleportation and superdense coding. In both models, the sender transmits a qubit, while the relay observes side information about the Pauli errors that occur in the channel and communicates with the receiver through an orthogonal rate-limited link. We develop a compress-forward coding scheme in which the relay compresses the Pauli-error sequence into bins and sends the bin index to the receiver. The receiver uses this partial error information to reduce the effective channel noise before quantum decoding. We show that this strategy is optimal by establishing matching converse bounds for both models.

Quantum Physics (quant-ph); Information Theory (cs.IT)

arXiv:2609.23459 [quant-ph]

(or arXiv:2609.23459v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.23459 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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