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Quantum Skew Divergence
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In this paper we study the quantum generalisation of the skew divergence, which is a dissimilarity measure between distributions introduced by L. Lee in the context of natural language processing. We provide an in-depth study of the quantum skew divergence, including its relation to other state distinguishability measures. Finally, we present a number of important applications: new continuity inequalities for the quantum Jensen-Shannon divergence and the Holevo information, and a new and short proof of Bravyi's Small Incremental Mixing conjecture.
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Upper bounds on the Holevo quantity arising from the fundamental entropic inequality
A general inequality bounds the Holevo quantity of any quantum ensemble by a combination of the Holevo quantities of two auxiliary ensembles plus a mean binary entropy term, yielding simple distance-based upper bounds.
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