Jensen-Shannon divergence (JD) is a symmetrized and smoothed version of the most
important divergence measure of information theory, Kullback divergence. As opposed to …

We present a quantum version of the generalized (h, ϕ)(h, ϕ)-entropies, introduced by
Salicrú et al. for the study of classical probability distributions. We establish their basic …

The mutual information between the sender of a classical message encoded in quantum
carriers and a receiver is fundamentally limited by the Holevo quantity. Using strong …

The von Neumann graph entropy is a measure of graph complexity based on the Laplacian
spectrum. It has recently found applications in various learning tasks driven by the …

Abstract The measure of Jensen–Fisher divergence between probability distributions is
introduced and its theoretical grounds set up. This quantity, in contrast to the remaining …

Properties of random mixed states of dimension N distributed uniformly with respect to the
Hilbert-Schmidt measure are investigated. We show that for large N, due to the …

We show how mapping techniques inherent to N2-dimensional discrete phase spaces can
be used to treat a wide family of spin systems which exhibits squeezing and entanglement …

The von Neumann graph entropy (VNGE) is a measure of graph complexity based on the
Laplacian spectrum. It has recently found applications in various learning tasks driven by …

The distinguishability between two quantum states can be defined in terms of their trace
distance. The operational meaning of this definition involves a maximization over …

We provide an analytical proof of the entropic uncertainty relations presented by JI de
Vicente and J. Sánchez-Ruiz [Phys. Rev. A 77, 042110 (2008) PLRAAN 1050-2947 …