Skip to main content
Springer Nature Link
Log in

Quantum Computing: An Applied Approach

  • Book
  • © 2021
  • Latest edition

Overview

Authors:
  1. Jack D. Hidary

    1. Palo Alto, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook EUR 32.09
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book EUR 42.79
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

') var buybox = document.querySelector("[data-id=id_"+ timestamp +"]").parentNode var buyboxMaxSingleColumnWidth = 480 ;[].slice.call(buybox.querySelectorAll(".buying-option")).forEach(initCollapsibles) function initCollapsibles(buyingOption, index) { var toggle = buyingOption.querySelector(".buying-option-price") buyingOption.classList.remove("expanded") var form = buyingOption.querySelector(".buying-option-form") var priceInfo = buyingOption.querySelector(".price-info") if (toggle && form && priceInfo) { toggle.setAttribute("role", "button") toggle.setAttribute("tabindex", "0") toggle.addEventListener("click", function (event) { var expandedBuyingOptions = buybox.querySelectorAll(".buying-option.expanded") var buyboxWidth = buybox.offsetWidth ;[].slice.call(expandedBuyingOptions).forEach(function(option) { if (buyboxWidth <= buyboxMaxSingleColumnWidth && option != buyingOption) { hideBuyingOption(option) } }) var expanded = toggle.getAttribute("aria-expanded") === "true" || false toggle.setAttribute("aria-expanded", !expanded) form.hidden = expanded if (!expanded) { buyingOption.classList.add("expanded") } else { buyingOption.classList.remove("expanded") } priceInfo.hidden = expanded }, false) } } function hideBuyingOption(buyingOption) { var toggle = buyingOption.querySelector(".buying-option-price") var form = buyingOption.querySelector(".buying-option-form") var priceInfo = buyingOption.querySelector(".price-info") toggle.setAttribute("aria-expanded", false) form.hidden = true buyingOption.classList.remove("expanded") priceInfo.hidden = true } function initKeyControls() { document.addEventListener("keydown", function (event) { if (document.activeElement.classList.contains("buying-option-price") && (event.code === "Space" || event.code === "Enter")) { if (document.activeElement) { event.preventDefault() document.activeElement.click() } } }, false) } function initialStateOpen() { var buyboxWidth = buybox.offsetWidth var narrowBuyboxArea = buyboxWidth <= buyboxMaxSingleColumnWidth var allOptionsInitiallyCollapsed = buybox.className.indexOf("all-options-initially-collapsed") > -1 ;[].slice.call(buybox.querySelectorAll(".buying-option")).forEach(function (option, index) { var toggle = option.querySelector(".buying-option-price") var form = option.querySelector(".buying-option-form") var priceInfo = option.querySelector(".price-info") if (allOptionsInitiallyCollapsed || narrowBuyboxArea && index > 0) { toggle.setAttribute("aria-expanded", "false") form.hidden = "hidden" priceInfo.hidden = "hidden" } else { toggle.click() } }) } initialStateOpen() if (window.buyboxInitialised) return window.buyboxInitialised = true initKeyControls() })()

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.


Similar content being viewed by others

Keywords

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Foundations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Superposition, Entanglement and Reversibility

      • Jack D. Hidary
      Pages 3-13

    3. A Brief History of Quantum Computing

      • Jack D. Hidary
      Pages 15-21

    4. Qubits, Operators and Measurement

      • Jack D. Hidary
      Pages 23-42

    5. Complexity Theory

      • Jack D. Hidary
      Pages 43-50

  3. Hardware and Applications

    1. Front Matter

      Pages 51-51
      Download chapter PDF

    2. Building a Quantum Computer

      • Jack D. Hidary
      Pages 53-66

    3. Development Libraries for Quantum Computer Programming

      • Jack D. Hidary
      Pages 67-86

    4. Teleportation, Superdense Coding and Bell’s Inequality

      • Jack D. Hidary
      Pages 87-99

    5. The Canon: Code Walkthroughs

      • Jack D. Hidary
      Pages 101-142

    6. Quantum Computing Methods

      • Jack D. Hidary
      Pages 143-205

    7. Applications and Quantum Supremacy

      • Jack D. Hidary
      Pages 207-224

  4. Toolkit

    1. Front Matter

      Pages 225-225
      Download chapter PDF

    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
    Download chapter PDF
Back to top

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.

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

Publish with us

Policies and ethics

Back to top