Quantum Computing: An Applied Approach
- 5h 3m
- Jack D. Hidary
- Springer
- 2019
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first work to bring these strands together in an updated manner. This work is suitable for both academic coursework and corporate technical training.
This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.
About the Author
Jack D. Hidary focuses on AI and on quantum computing at Alphabet X, formerly Google X. He and his group develop and research algorithms for NISQ-regime quantum processors as well as create new software libraries for quantum computing. In the AI field, Jack and his group focus on fundamental research such as the generalization of deep networks as well as applied AI technologies.
In this Book
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Preface
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Navigating This Book
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Superposition, Entanglement and Reversibility
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A Brief History of Quantum Computing
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Qubits, Operators and Measurement
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Complexity Theory
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Building a Quantum Computer
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Development Libraries for Quantum Computer Programming
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Teleportation, Superdense Coding and Bell's Inequality
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The Canon—Code Walkthroughs
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Quantum Computing Methods
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Applications and Quantum Supremacy
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Mathematical Tools for Quantum Computing I
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Mathematical Tools for Quantum Computing II
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Mathematical Tools for Quantum Computing III
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Table of Quantum Operators and Core Circuits
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Works Cited
