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Quantum Computing
Quantum Computing
Quantum Computing
Quantum Computing

Quantum Computing

Product ID : 47797009


Galleon Product ID 47797009
Shipping Weight 0.47 lbs
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Manufacturer McGraw-Hill Education
Shipping Dimension 8.94 x 5.94 x 0.39 inches
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About Quantum Computing

Product Description Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.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 From the Publisher 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. 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.