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  • © 2021

Quantum Computing: An Applied Approach

Authors:

  • 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

Buying options

eBook USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-83274-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 44.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Foundations

    1. Front Matter

      Pages 1-1
    2. A Brief History of Quantum Computing

      • Jack D. Hidary
      Pages 15-21
    3. Qubits, Operators and Measurement

      • Jack D. Hidary
      Pages 23-42
    4. Complexity Theory

      • Jack D. Hidary
      Pages 43-50
  3. Hardware and Applications

    1. Front Matter

      Pages 51-51
    2. Building a Quantum Computer

      • Jack D. Hidary
      Pages 53-66
    3. The Canon: Code Walkthroughs

      • Jack D. Hidary
      Pages 101-142
    4. Quantum Computing Methods

      • Jack D. Hidary
      Pages 143-205
    5. Applications and Quantum Supremacy

      • Jack D. Hidary
      Pages 207-224
  4. Toolkit

    1. Front Matter

      Pages 225-225
    2. Mathematical Tools for Quantum Computing I

      • Jack D. Hidary
      Pages 227-321
    3. Mathematical Tools for Quantum Computing II

      • Jack D. Hidary
      Pages 323-369
    4. Mathematical Tools for Quantum Computing III

      • Jack D. Hidary
      Pages 371-376
    5. Dirac Notation

      • Jack D. Hidary
      Pages 377-381
    6. Table of Quantum Operators and Core Circuits

      • Jack D. Hidary
      Pages 383-385
  5. Back Matter

    Pages 387-422

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.

Keywords

  • 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
  • Quantum optimization
  • Quantum machine learning
  • Quantum AI
  • probability density function
  • Borne Rule

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.

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: 978-3-030-83273-5

  • eBook ISBN: 978-3-030-83274-2

  • Edition Number: 2

  • Number of Pages: XXIII, 422

  • Number of Illustrations: 20 b/w illustrations, 46 illustrations in colour

  • Topics: Quantum Computing, Programming Language, Quantum Information

Buying options

eBook USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-83274-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 44.99
Price excludes VAT (USA)