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arXiv · 1807.05630

Partially smoothed information measures

Anurag Anshu·Mario Berta·Rahul Jain·Marco Tomamichel
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Abstract

Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and cryptography. In typical bi- and multi-partite problems, however, some of the sub-systems are often left unchanged and this is not reflected by the standard smoothing of information measures over a ball of close states. We propose to smooth instead only over a ball of close states which also have some of the reduced states on the relevant sub-systems fixed. This partial smoothing of information measures naturally allows to give more refined characterizations of various information-theoretic problems in the one-shot setting. In particular, we immediately get asymptotic second-order characterizations for tasks such as privacy amplification against classical side information or classical state splitting. For quantum problems like state merging the general resource trade-off is tightly characterized by partially smoothed information measures as well.

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Anurag Anshu, Mario Berta, Rahul Jain, Marco Tomamichel. 2018-07-15. Partially smoothed information measures. https://doi.org/10.1109/tit.2020.2981573

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