Quantum Computing: An Applied Approach (original) (raw)
Overview
Authors:
- Jack D. Hidary
- Palo Alto, USA
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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About this book
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.
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Table of contents (15 chapters)
Foundations
Hardware and Applications
Toolkit
Reviews
“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)
Authors and Affiliations
Palo Alto, USA
Jack D. Hidary
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.
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Bibliographic Information
- Book Title: Quantum Computing: An Applied Approach
- Authors: Jack D. Hidary
- DOI: https://doi.org/10.1007/978-3-030-83274-2
- Publisher: Springer Cham
- eBook Packages: Computer Science, Computer Science (R0)
- Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
- Hardcover ISBN: 978-3-030-83273-5Published: 03 November 2021
- eBook ISBN: 978-3-030-83274-2Published: 29 September 2021
- Edition Number: 2
- Number of Pages: XXIII, 422
- Number of Illustrations: 20 b/w illustrations, 46 illustrations in colour
- Topics: Quantum Computing, Professional Computing, Quantum Physics