Introduction to Quantum Algorithms via Linear Algebra, second edition

Introduction to Quantum Algorithms via Linear Algebra, second edition

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Description

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 the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, it makes quantum algorithms accessible to students and researchers in computer science who have not taken courses in quantum physics or delved into fine details of quantum effects, apparatus, circuits, or theory.

Additional information

Weight 0.6 kg
Dimensions 2.21 × 16.03 × 23.65 cm
Format
language1
Pages

280
Publisher

Year Published

2021-4-6
Imprint

Publication City/Country

USA
ISBN 10

0262045257
About The Author

Richard J. Lipton is Frederick G. Story Professor of Computing (Emeritus) at Georgia Institute of Technology. Kenneth W. Regan is Associate Professor in the Department of Computer Science and Engineering at University at Buffalo, the State University of New York.
Other text

“This book covers the most important quantum algorithms from scratch, concisely but rigorously. It is well suited to those with some mathematics background but with scant knowledge of quantum computing.”—Stephen Fenner, Professor of Computer Science and Engineering, University of South Carolina. “This lovely volume introduces quantum algorithms—from the early examples that launched the field of quantum computing to those underlying recent experiments—in an accessible and conversational style.”—Chris Umans, Professor of Computer Science in the Computing and Mathematical Sciences Department, California Institute of Technology

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