Quantum algorithms via linear algebra : a primer

Resource Information

The work Quantum algorithms via linear algebra : a primer represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Quantum algorithms via linear algebra : a primer

Title remainder

a primer

Statement of responsibility

Richard J. Lipton, Kenneth W. Regan

Creator

• Lipton, Richard J

Contributor

• Regan, Kenneth W

Author

• Regan, Kenneth W

Subject

• Algebras, Linear
• Computer algorithms
• Quantum computers

Language

eng

Summary

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.--

Assigning source

Provided by Publisher

Cataloging source

DLC

Illustrations

illustrations

Index

index present

Literary form

non fiction

Nature of contents

bibliography