Introduction to Quantum Algorithms via Linear Algebra, second edition

Cover
MIT Press, 06.04.2021 - 280 Seiten
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.
 

Inhalt

Introduction
3
Numbers and Strings
11
Basic Linear Algebra
17
Boolean Functions Quantum Bits and Feasibility
31
Special Matrices
49
Contents ix
59
Tricks
61
Phils Algorithm
73
Factoring Integers
119
Physics of Quantum Computing
131
Phase Estimation and Approximate Counting
169
Quantum Walks
177
Quantum Walk Search Algorithms
189
Quantum Matrix Algorithms
205
Quantum Computation and BQP
225
Beyond
243

Deutschs Algorithm
87
The DeutschJozsa Algorithm
99
Shors Algorithm
107

Andere Ausgaben - Alle anzeigen

Häufige Begriffe und Wortgruppen

Autoren-Profil (2021)

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.

Bibliografische Informationen