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- Introduction to Quantum Algorithms via Linear Algebra, second edition
Introduction to Quantum Algorithms via Linear Algebra, second edition
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Product Details
Author:
Richard J. Lipton, Kenneth W. Regan
Format:
Hardcover
Pages:
280
Publisher:
MIT Press (April 6, 2021)
Language:
English
ISBN-13:
9780262045254
ISBN-10:
0262045257
Weight:
21oz
Dimensions:
6.31" x 9.31" x 0.87"
Case Pack:
24
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171253_155746857-20260405.xml
Folder:
RandomHouse
List Price:
$45.00
As low as:
$34.65
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
The MIT Press
Overview
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.
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.
