aiqbench analysis
This paper advances fundamental quantum information theory by establishing closed-form expressions for error exponents in the binary discrimination of idempotent quantum channels under specific invariant state conditions. The findings provide rigorous mathematical bounds that are essential for optimizing channel capacity and reliability in future quantum communication networks.
Discriminating idempotent quantum channels
arXiv:2603.28582v2 Announce Type: replace Abstract: We study binary discrimination of idempotent quantum channels. When the two channels share a common full-rank invariant state, we show that a simple image inclusion condition completely determines the asymptotic behavior: when it holds, a broad family of channel divergences collapse to a closed-form, single-letter expression, regularization is unnecessary, and all error exponents (Stein/Chernoff/Hoeffding/strong-converse) are explicitly computable with no adaptive advantage. Crucially, this yields the strong converse property for this channel family. When the inclusion fails, asymmetric exponents become infinite, implying perfect asymptotic discrimination. We apply the results to GNS-symmetric channels, showing discrimination rates for large number of self-iterations converge exponentially fast to those of the corresponding idempotent peripheral projections. Without a common invariant state, we show that the same image inclusion still guarantees additivity of the sandwiched R\'{e}nyi cb-divergence for every $\alpha>1$, which suffices to establish the strong converse property and single-letter expressions for the Stein exponents.
Abstract:We study binary discrimination of idempotent quantum channels. When the two channels share a common full-rank invariant state, we show that a simple image inclusion condition completely determines the asymptotic behavior: when it holds, a broad family of channel divergences collapse to a closed-form, single-letter expression, regularization is unnecessary, and all error exponents (Stein/Chernoff/Hoeffding/strong-converse) are explicitly computable with no adaptive advantage. Crucially, this yields the strong converse property for this channel family. When the inclusion fails, asymmetric exponents become infinite, implying perfect asymptotic discrimination. We apply the results to GNS-symmetric channels, showing discrimination rates for large number of self-iterations converge exponentially fast to those of the corresponding idempotent peripheral projections. Without a common invariant state, we show that the same image inclusion still guarantees additivity of the sandwiched Rényi cb-divergence for every $\alpha>1$, which suffices to establish the strong converse property and single-letter expressions for the Stein exponents.
Quantum Physics (quant-ph); Information Theory (cs.IT); Mathematical Physics (math-ph)
arXiv:2603.28582 [quant-ph]
(or arXiv:2603.28582v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.28582 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 246 words
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