Quantum Computing: An Applied Approach
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Beschreibung
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.
The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.
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.
Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.
The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.
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.
Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.
Expanded coverage of quantum machine learning and quantum error correction Best selling book giving hands-on instruction to quantum computing Companion website with code, problem sets and additional resources
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Jack D. Hidary
Themen in »Quantum Computing: An Applied Approach«
Quantum computing Quantum computers Quantum computation Superconducting qubits Qubits Quantum supremacy Quantum advantage Bristlecone IBM quantum Trapped ion Cirq QISkit Q# Shor’s algorithm Grover’s algorithm
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“Quantum Computing: An Applied Approach is an introductory textbook on quantum computing. The book features an extensive review of the mathematics underpinning quantum computing … . The mathematical chapters contain intertextual exercises with solutions. … graduate students in either physics or computer science would have a much easier go with Quantum Computing: An Applied Approach than my class did. The text contains an abundance of information on quantum computing.” (James V. Rauff, SIGACT News, Vol. 55 (1), 2024)
“This well-put-together book is a valuable addition to the literature in the field.” (Shrisha Rao, Computing Reviews, February 3, 2023)
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