Quantum Computing (ELECTRONICS)

Lala, Parag

ISBN 10: 1260123111 / ISBN 13: 9781260123111

Published by McGraw Hill, 2019

About this Item

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Bibliographic Details

• Title: Quantum Computing (ELECTRONICS)
• Publisher: McGraw Hill
• Publication Date: 2019
• Language: English
• ISBN 10: 1260123111
• ISBN 13: 9781260123111
• Binding: Paperback
• Condition: Used; Very Good

About this title

Synopsis

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A self-contained, reader-friendly introduction to the principles and applications of quantum computing 


Especially valuable to those without a prior knowledge of quantum mechanics, this electrical engineering text presents the concepts and workings of quantum information processing systems in a clear, straightforward, and practical manner. The book is written in a style that helps readers who are not familiar with non-classical information processing more easily grasp the essential concepts; only prior exposure to classical physics, basic digital design, and introductory linear algebra is assumed.


Quantum Computing: A Beginner’s Introduction presents each topic in a tutorial style with examples, illustrations, and diagrams to clarify the material. Written by an experienced electrical engineering educator and author, this is a self-contained resource, with all the necessary pre-requisite material included within the text.


Coverage includes: 


• Complex Numbers, Vector Space, and Dirac Notation 
• Basics of Quantum Mechanics 
• Matrices and Operators 
• Boolean Algebra, Logic Gates and Quantum Information Processing 
• Quantum Gates and Circuit 
• Tensor Products, Superposition and Quantum Entanglement 
• Teleportation and Superdense Coding 
• Quantum Error Correction 
• Quantum Algorithms 
• Quantum Cryptography

About the Author

Parag K. Lala, is an electrical engineering professor at Texas A&M University - Texarkana and is the author or co-author of seven books and more than 145 technical papers. His current research interests are in quantum computing and cryptography, hardware-based DNA sequence matching, and biologically-inspired design of programmable digital systems. He is a Life Fellow of the IEEE.