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This paper establishes the convergence of regularized sandwiched Rényi divergence to relative entropy for finite-dimensional quantum channels, providing rigorous bounds essential for high-threshold rate analysis. By leveraging the channel hockey-stick divergence and Stinespring approximations, it derives exponential strong converses for parallel and adaptive discrimination tasks. These theoretical advances clarify the asymptotic behavior of quantum information metrics, directly impacting the design of reliable quantum communication protocols.
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Continuity of Regularized Channel R\'enyi Divergences

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arXiv:2609.28635v1 Announce Type: new Abstract: We prove that the regularized, stabilized sandwiched R\'enyi divergence of finite-dimensional quantum channels converges to their regularized relative entropy as the R\'enyi order tends to one. The key tool is the channel hockey-stick divergence: Gour's Stinespring approximation bound and a Schatten norm estimate amplify an asymptotic bound below one into exponential decay at higher threshold rates. For channel pairs with finite max-relative entropy, known operational connections then give exponential strong converses for parallel and adaptive discrimination, a sharp zero--one testing law, and the subchannel asymptotic equipartition property.

Abstract:We prove that the regularized, stabilized sandwiched Rényi divergence of finite-dimensional quantum channels converges to their regularized relative entropy as the Rényi order tends to one. The key tool is the channel hockey-stick divergence: Gour's Stinespring approximation bound and a Schatten norm estimate amplify an asymptotic bound below one into exponential decay at higher threshold rates. For channel pairs with finite max-relative entropy, known operational connections then give exponential strong converses for parallel and adaptive discrimination, a sharp zero--one testing law, and the subchannel asymptotic equipartition property.

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

arXiv:2609.28635 [quant-ph]

(or arXiv:2609.28635v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.28635 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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