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.
Properties of subentropy
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abstract
Subentropy is an entropy-like quantity that arises in quantum information theory; for example, it provides a tight lower bound on the accessible information for pure state ensembles, dual to the von Neumann entropy upper bound in Holevo's theorem. Here we establish a series of properties of subentropy, paralleling the well-developed analogous theory for von Neumann entropy. Further, we show that subentropy is a lower bound for min-entropy. We introduce a notion of conditional subentropy and show that it can be used to provide an upper bound for the guessing probability of any classical-quantum state of two qubits; we conjecture that the bound applies also in higher dimensions. Finally we give an operational interpretation of subentropy within classical information theory.
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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.