This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems.It includes introductory material on algorithm, functional analysis, probability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on the theory of entropy in C*-dynamical systems, space-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usual quantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described.
Format: Hardback
CONTRIBUTORS: Masanori Ohya
EAN: 9789400701700
COUNTRY: Netherlands
PAGES:
WEIGHT: 1462 g
HEIGHT: 235 cm
PUBLISHED BY: Springer
DATE PUBLISHED: 2011-01-28
CITY:
GENRE: MATHEMATICS / Applied, SCIENCE / Life Sciences / Anatomy & Physiology, SCIENCE / Physics / Quantum Theory
WIDTH: 155 cm
SPINE:
Book Themes:
Applied mathematics, Quantum physics (quantum mechanics and quantum field theory), Computational biology / bioinformatics
From the reviews:“The monograph under review concerns a mathematically rigorous approach to quantum information and computation. The authors provide necessary introductory material on functional analysis, probability theory, information theory and quantum mechanics. … The unique feature of the monograph is that the authors also describe the applications of information theory to genetics and other life sciences. … Very helpful for further study is the vast list of references, containing the most important articles and books on the subject.” (Lech Jakóbczyk, Mathematical Reviews, Issue 2012 c)
M. Ohya (Tokyo University of Science) and I. Volovich (SMI RAS, Russia) are acknowledged experts on quantum information theory.