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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.

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