You're reading from A Practical Guide to Quantum Machine Learning and Quantum Optimization Hands-on Approach to Modern Quantum Algorithms

Product type Paperback

Published in Mar 2023

Publisher Packt

ISBN-13 9781804613832

Length 680 pages

Edition 1st Edition

Tools

Pennylane

Concepts

Machine Learning

Authors (2):

Elías F. Combarro Fernández-Combarro Álvarez

Samuel González Castillo

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Table of Contents (27) Chapters

Preface

1. Part I: I, for One, Welcome our New Quantum Overlords

2. Chapter 1: Foundations of Quantum Computing FREE CHAPTER

3. Chapter 2: The Tools of the Trade in Quantum Computing

4. Part II: When Time is Gold: Tools for Quantum Optimization

5. Chapter 3: Working with Quadratic Unconstrained Binary Optimization Problems

6. Chapter 4: Adiabatic Quantum Computing and Quantum Annealing

7. Chapter 5: QAOA: Quantum Approximate Optimization Algorithm

8. Chapter 6: GAS: Grover Adaptive Search

9. Chapter 7: VQE: Variational Quantum Eigensolver

10. Part III: A Match Made in Heaven: Quantum Machine Learning

11. Chapter 8: What Is Quantum Machine Learning?

12. Chapter 9: Quantum Support Vector Machines

13. Chapter 10: Quantum Neural Networks

14. Chapter 11: The Best of Both Worlds: Hybrid Architectures

15. Chapter 12: Quantum Generative Adversarial Networks

16. Part IV: Afterword and Appendices

17. Chapter 13: Afterword: The Future of Quantum Computing

18. Assessments

19. Bibliography

20. Index

21. Other Books You May Enjoy

Appendix A: Complex Numbers

1. Appendix B: Basic Linear Algebra

2. Appendix C: Computational Complexity

3. Appendix D: Installing the Tools

4. Appendix E: Production Notes

2.1 Tools for quantum computing: a non-exhaustive overview

In this book, we will work mostly with two quantum frameworks: Qiskit and PennyLane. These frameworks are powerful, very widely used, and are backed by strong user communities, but they are by no means the only interesting options available. There is currently a plethora of wonderful software frameworks for quantum computing, so much so that it can sometimes feel overwhelming!

2.1.1 A non-exhaustive survey of frameworks and platforms

In this section, we will briefly go through some of the most popular frameworks out there. Most of these frameworks are free, both as in free beer and as in free speech.

Quirk: We can begin with a simple yet powerful simulator of quantum circuits: Quirk (https://algassert.com/quirk). Unlike all the other frameworks that we will discuss, this one does not work with code, but with a graphical user interface that runs as a web application. This makes it ideal for running demonstrations of algorithms...

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You're reading from A Practical Guide to Quantum Machine Learning and Quantum Optimization Hands-on Approach to Modern Quantum Algorithms

Table of Contents (27) Chapters

2.1 Tools for quantum computing: a non-exhaustive overview

2.1.1 A non-exhaustive survey of frameworks and platforms

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