**Hardcover**| Out of Print | ISBN: 9780262015066 | 392 pp. | 7 x 9 in | 3 graphs, 79 figures, 2 tables | March 2011

**Paperback**|

**$39.00 Short**|

**£28.95**| ISBN: 9780262526678 | 392 pp. | 7 x 9 in | 3 graphs, 79 figures, 2 tables | August 2014

## Essential Info

## Instructor Resources

## Quantum Computing

## Overview

The combination of two of the twentieth century’s most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model information and its processing. Quantum computing is not about changing the physical substrate on which computation is done from classical to quantum but about changing the notion of computation itself, at the most basic level. The fundamental unit of computation is no longer the bit but the quantum bit or qubit. This comprehensive introduction to the field offers a thorough exposition of quantum computing and the underlying concepts of quantum physics, explaining all the relevant mathematics and offering numerous examples. With its careful development of concepts and thorough explanations, the book makes quantum computing accessible to students and professionals in mathematics, computer science, and engineering. A reader with no prior knowledge of quantum physics (but with sufficient knowledge of linear algebra) will be able to gain a fluent understanding by working through the book.

## About the Authors

Eleanor Rieffel is Research Scientist at NASA Ames Research Center.

Wolfgang Polak is a computer science consultant.

## Reviews

**Valerio Scarani**, Physics Today,

*Physics Today*

**Colin Price**,

*Times Higher Education*

*Quantum Computing*] offers one of the best introductions to the themes and concepts of quantum measurement that I have ever read...The authors have the rare capacity of offering us a steady quality of educational throughput, regardless of the inherent difficulty of the theme presented...It is a significant education oeuvre.”—

**Constantin S. Chassapis**,

*Computing Reviews*

## Endorsements

—

**Michael B. Heaney**, Applied Quantum Technology Solar, Inc.

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**Karoline Wiesner**, School of Mathematics and Center for Complexity Science, University of Bristol