Markovian approximation is a widely-employed idea in descriptions of the dynamics of open
quantum systems (OQSs). Although it is usually claimed to be a concept inspired by …

It is a fundamental consequence of the superposition principle for quantum states that there
must exist nonorthogonal states, that is, states that, although different, have a nonzero …

Written by one of the founding fathers of Quantum Information, this book gives an accessible
(albeit mathematically rigorous), self-contained introduction to quantum information theory …

The field of classical stochastic processes forms a major branch of mathematics. Stochastic
processes are, of course, also very well studied in biology, chemistry, ecology, geology …

Quantum information theory is a branch of science at the frontier of physics, mathematics,
and information science, and offers a variety of solutions that are impossible using classical …

The aim of this book is to demonstrate that quantum-like (QL) models, ie, models based on
the mathematical formalism of quantum mechanics (QM) and its generalizations, can be …

Several quantities of interest in quantum information, including entanglement and purity, are
nonlinear functions of the density matrix and cannot, even in principle, correspond to proper …

In this survey, various generalizations of Glauber–Sudarshan coherent 4 states are
described in a unified way, with their statistical properties and their 5 possible role in non …

The subjects of stochastic processes, information theory, and Lie groups are usually treated
separately from each other. This unique two-volume set presents these topics in a unified …

This concise and readable book addresses primarily readers with a background in classical
statistical physics and introduces quantum mechanical notions as required. Conceived as a …