Quantum Algorithms via Linear Algebra A Primer

Lipton, Richard J./ Regan, Kenneth W.

ISBN 10: 0262028395 / ISBN 13: 9780262028394

Published by Mit Pr, 2014

About this Item

1st edition. 192 pages. 9.50x6.50x0.75 inches. In Stock.

Seller Inventory # 0262028395

Bibliographic Details

• Title: Quantum Algorithms via Linear Algebra A Primer
• Publisher: Mit Pr
• Publication Date: 2014
• Language: English
• ISBN 10: 0262028395
• ISBN 13: 9780262028394
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.5 kilograms

About this title

Synopsis

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics.

This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of all the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, this primer makes quantum algorithms accessible to students and researchers in computer science without the complications of quantum mechanical notation, physical concepts, and philosophical issues.

After explaining the development of quantum operations and computations based on linear algebra, the book presents the major quantum algorithms, from seminal algorithms by Deutsch, Jozsa, and Simon through Shor's and Grover's algorithms to recent quantum walks. It covers quantum gates, computational complexity, and some graph theory. Mathematical proofs are generally short and straightforward; quantum circuits and gates are used to illuminate linear algebra; and the discussion of complexity is anchored in computational problems rather than machine models.

Quantum Algorithms via Linear Algebra is suitable for classroom use or as a reference for computer scientists and mathematicians.

About the Author

Richard J. Lipton is Professor and Frederick G. Storey Chair in Computing at Georgia Tech.

Kenneth W. Regan is Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York.