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Operational Interpretation of the Sandwiched R\'enyi Divergence of Order 1/2 to 1 as Strong Converse Exponents

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arxiv 2209.00554 v5 pith:YLA6A4WN submitted 2022-09-01 quant-ph cs.ITmath-phmath.ITmath.MP

Operational Interpretation of the Sandwiched R\'enyi Divergence of Order 1/2 to 1 as Strong Converse Exponents

classification quant-ph cs.ITmath-phmath.ITmath.MP
keywords enyiquantumdivergencesandwichedalphaconverseexponentsfrac
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We provide the sandwiched R\'enyi divergence of order $\alpha\in(\frac{1}{2},1)$, as well as its induced quantum information quantities, with an operational interpretation in the characterization of the exact strong converse exponents of quantum tasks. Specifically, we consider (a) smoothing of the max-relative entropy, (b) quantum privacy amplification, and (c) quantum information decoupling. We solve the problem of determining the exact strong converse exponents for these three tasks, with the performance being measured by the fidelity or purified distance. The results are given in terms of the sandwiched R\'enyi divergence of order $\alpha\in(\frac{1}{2},1)$, and its induced quantum R\'enyi conditional entropy and quantum R\'enyi mutual information. This is the first time to find the precise operational meaning for the sandwiched R\'enyi divergence with R\'enyi parameter in the interval $\alpha\in(\frac{1}{2},1)$.

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  1. Doubly minimized Petz and sandwiched Renyi mutual information: Operational interpretation from binary quantum state discrimination

    quant-ph 2024-06 unverdicted novelty 6.0

    The direct exponent in binary quantum state discrimination for correlation detection equals the doubly minimized Petz Renyi mutual information for alpha in (1/2,1), while the strong converse exponent equals the doubly...