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This research establishes that for finite-dimensional memoryless quantum channels, adaptive testing strategies offer no asymptotic advantage over parallel methods in distinguishing tasks. By proving the continuity of regularized sandwiched Rényi channel divergence, the study unifies Stein exponents across different testing protocols and derives exact strong-converse bounds. These findings refine the theoretical limits of quantum information processing without introducing new hardware or application-specific breakthroughs.
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Quantum Channel Stein Theorem beyond Definite Causal Order

arXiv2 min read

arXiv:2609.30268v1 Announce Type: new Abstract: Distinguishability is a central concept in information theory and extends naturally to quantum systems. This work shows that, for any two finite-dimensional memoryless quantum channels, parallel, adaptive and general testing strategies achieve the same Stein exponent at every fixed type-I error tolerance $\epsilon\in(0,1)$, namely the regularized channel relative entropy. When this rate is finite, any larger type-II exponent forces the probability of correctly accepting the null hypothesis to decay exponentially. Thus, adaptivity provides no asymptotic advantage. The key step is proving the continuity of the regularized sandwiched R\'enyi channel divergence at order one. We also derive the exact strong-converse exponent for general testers.

Abstract:Distinguishability is a central concept in information theory and extends naturally to quantum systems. This work shows that, for any two finite-dimensional memoryless quantum channels, parallel, adaptive and general testing strategies achieve the same Stein exponent at every fixed type-I error tolerance $\epsilon\in(0,1)$, namely the regularized channel relative entropy. When this rate is finite, any larger type-II exponent forces the probability of correctly accepting the null hypothesis to decay exponentially. Thus, adaptivity provides no asymptotic advantage. The key step is proving the continuity of the regularized sandwiched Rényi channel divergence at order one. We also derive the exact strong-converse exponent for general testers.

arXiv:2609.30268 [quant-ph]

(or arXiv:2609.30268v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.30268 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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