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A Practical Guide to Quantum Machine Learning and Quantum Optimization

You're reading from  A Practical Guide to Quantum Machine Learning and Quantum Optimization

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781804613832
Pages 680 pages
Edition 1st Edition
Languages
Authors (2):
Elías F. Combarro Elías F. Combarro
Profile icon Elías F. Combarro
Samuel González-Castillo Samuel González-Castillo
Profile icon Samuel González-Castillo
View More author details

Table of Contents (27) Chapters

Preface 1. Part I: I, for One, Welcome our New Quantum Overlords
2. Chapter 1: Foundations of Quantum Computing 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

Appendix E
Production Notes

There are two things nobody should ever have to watch being made, sausage and laws.
— Mark Twain

This book was written in LaTeX by the two of us in three different countries (Ireland, Spain, and Switzerland) and in a wide variety of places: in offices at Maynooth University, the University of Oviedo and CERN; in an apartment in Oviedo, a university dorm in Maynooth, and an apartment in Geneva; in a sports pavilion; in the waiting rooms of emergency departments of two different hospitals; near the beach; near the mountains; on the backseat of a car; on some commuter trains; at several different airports; at a hotel in Almería; and, probably, in some other locations that we do not remember now.

All this wouldn’t have been possible without adequate tools and apps. The main one was Overleaf (https://www.overleaf.com), which allowed us to collaborate and work simultaneously even while we were thousands of kilometers away from each other.

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A Practical Guide to Quantum Machine Learning and Quantum Optimization
Published in: Mar 2023 Publisher: Packt ISBN-13: 9781804613832
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