Quantum Computing Explained

McMahon, David

ISBN 10: 0470096993 / ISBN 13: 9780470096994

Published by IEEE Computer Society, 2007

About this Item

illustrated edition. 332 pages. 9.75x6.50x1.00 inches. In Stock.

Seller Inventory # x-0470096993

Bibliographic Details

• Title: Quantum Computing Explained
• Publisher: IEEE Computer Society
• Publication Date: 2007
• Language: English
• ISBN 10: 0470096993
• ISBN 13: 9780470096994
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

A self-contained treatment of the fundamentals of quantum computing

This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists. The author cuts through the conventions of typical jargon-laden physics books and instead presents the material through his unique "how-to" approach and friendly, conversational style.

Readers will learn how to carry out calculations with explicit details and will gain a fundamental grasp of:
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Quantum mechanics
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Quantum computation
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Teleportation
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Quantum cryptography
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Entanglement
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Quantum algorithms
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Error correction

A number of worked examples are included so readers can see how quantum computing is done with their own eyes, while answers to similar end-of-chapter problems are provided for readers to check their own work as they learn to master the information.

Ideal for professionals and graduate-level students alike, Quantum Computing Explained delivers the fundamentals of quantum computing readers need to be able to understand current research papers and go on to study more advanced quantum texts.

About the Author

David McMahon currently consults as a Researcher at Sandia National Labs, where he is responsible for research in applied quantum mechanics and quantum information theory. He holds a master's degree in physics and an undergraduate degree in electrical engineering and mathematics.