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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 Part I: I, for One, Welcome our New Quantum Overlords
Chapter 1: Foundations of Quantum Computing Chapter 2: The Tools of the Trade in Quantum Computing Part II: When Time is Gold: Tools for Quantum Optimization
Chapter 3: Working with Quadratic Unconstrained Binary Optimization Problems Chapter 4: Adiabatic Quantum Computing and Quantum Annealing Chapter 5: QAOA: Quantum Approximate Optimization Algorithm Chapter 6: GAS: Grover Adaptive Search Chapter 7: VQE: Variational Quantum Eigensolver Part III: A Match Made in Heaven: Quantum Machine Learning
Chapter 8: What Is Quantum Machine Learning? Chapter 9: Quantum Support Vector Machines Chapter 10: Quantum Neural Networks Chapter 11: The Best of Both Worlds: Hybrid Architectures Chapter 12: Quantum Generative Adversarial Networks Part IV: Afterword and Appendices
Chapter 13: Afterword: The Future of Quantum Computing
Assessments Bibliography
Index
Other Books You May Enjoy Appendix A: Complex Numbers
Appendix B: Basic Linear Algebra Appendix C: Computational Complexity Appendix D: Installing the Tools Appendix E: Production Notes

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

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