Advertisement

© 2006

Quantum Information

An Introduction

  • Provides a unified viewpoint of quantum information theory and lucid explanations of those basic results

  • Requires knowledge of only linear algebra, probability theory, and quantum mechanics, the minimal amount of math needed to convey the concepts

  • More than 240 exercises provide practice that enriches knowledge of quantum information theory

Textbook

About this book

Introduction

Recently, quantum information theory has been developing through a fusion of results from various research fields. This requires that understanding of basic results on diverse topics, and derived from different disciplinary perspectives, is required for appreciating the overall picture. Intended to merge key topics from both the information-theoretic and quantum- mechanical viewpoints, this graduate-level textbook provides a unified viewpoint of quantum information theory and lucid explanations of those basic results, so that the reader fundamentally grasps advances and challenges. For example, advanced topics in quantum communication such as quantum teleportation, superdense coding, quantum state transmission (quantum error-correction), and quantum encryption especially benefit from this unified approach. Unlike earlier treatments, the text requires knowledge of only linear algebra, probability theory, and quantum mechanics, while it treats the topics of quantum hypothesis testing and the discrimination of quantum states, and quantum channel coding (message transmission) with the minimal amount of math needed to convey their essence. Solving the more than 240 exercises provides readers with practice that not only enriches their knowledge of quantum information theory, but also can equip them with the techniques necessary for pursuing their own research in this field.

Keywords

Entanglement Quantum Statistical Inference Quantum cryptography Quantum information algebra information theory mechanics quantum mechanics

Authors and affiliations

  1. 1.Japan Science and Technology AgencyTokyoJapan

About the authors

1990-1994 Faculty of Science, Kyoto Univ.

1994-1996 Master course, Depart of Mathematics, Graduate School of Science,

Kyoto Univ.

1996-1999 Doctor course, Depart of Mathematics, Graduate School of Science,

Kyoto Univ.

1999 March Ph. D. in Mathematics

1998-2000 Research Fellow of the Japan Society for the Promotion of

Science.

2000-2003 Researcher

Lab. for Mathematical Neuroscience (Amari's Lab.),

Brain Science Institute, RIKEN

2003- Head of Research Section

ERATO, Quantum Computation and Information Project,

Japan Science and Technology Agency (JST)

2004- Adjunct Associate Professor

Graduate School of Information Science and Technology

The University of Tokyo

Editorial Bord, International Journal of Quantum Information,

World Scientific (2002-).

Guest Editor, Special Issue of EQIS'03 conference

in International Journal of Quantum Information.

Editor of "Asymptotic Theory of Quantum Statistical Inference: Selected papers" published by World Scientific, 542 pages (2005).

Bibliographic information

Industry Sectors
Electronics
Energy, Utilities & Environment
IT & Software

Reviews

“Quantum Information: An Introduction by Masahito Hayashi provides much more than merely an introduction to this active area of study. The text is a thorough mathematical foundation upon which graduate students and early career researchers alike can build the knowledge and skills required to pursue their own research in the field. … I will be gladly recommending this text to any researcher wishing to enter the field, from graduate student through to professor.” (N. Oxtoby, Contemporary Physic, Vol. 49 (01),January-February, 2008) 

"The book under review is, without a doubt, the most comprehensive textbook to date on quantum information theory. … This comprehensive and theorem-heavy approach makes the book a valuable reference for those working in the field of quantum information. … This book could be used in a graduate course in quantum information theory … . an extremely helpful work, and I am glad that it is available." (Todd A. Brun, Mathematical Reviews, Issue 2007 b)