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

2.2 Working with Qiskit

In this section, we will learn how to work with the Qiskit framework. We will first discuss the general structure of Qiskit, and then we will study how to implement quantum circuits in Qiskit using quantum gates and measurements. Then, we will explore how to run these circuits using the simulators provided by Qiksit and also real quantum computers available for free thanks to IBM. This section is key, for we will use Qiskit extensively in this book.

Important note

Quantum computing is a rapidly-evolving field…and so are its software frameworks! We are going to work with version 0.39.2 of Qiskit. Keep in mind that, if you are using a different version, things may have changed. In case of doubt, you should always refer to the documentation (https://qiskit.org/documentation/).

2.2.1 An overview of the Qiskit framework

The Qiskit framework [102] consists of the components depicted in Figure 2.1. At the very foundation of Qiskit lies Qiskit Terra. This...

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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

2.2 Working with Qiskit

2.2.1 An overview of the Qiskit framework

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