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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

Bibliography

[1] Abu-Mostafa, Y., Magdon-Ismail, M. & Lin, H. Learning from data. (AMLBook New York,2012)

[2] Abu-Mostafa, Y., Magdon-Ismail, M. & Lin, H. Learning from data, e-Chapter 8: Support Vector Machines. , https://amlbook.com/eChapters.html

[3] Acín, A. & Masanes, L. Certified randomness in quantum physics. Nature. 540, 213-219 (2016)

[4] Aharonov, D., Dam, W., Kempe, J., Landau, Z., Lloyd, S. & Regev, O. Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation. SIAM Journal On Computing. 37, 166-194 (2007)

[5] Agrawal, M., Kayal, N. & Saxena, N. PRIMES is in P. Annals Of Mathematics. pp. 781-793 (2004)

[6] Altepeter, J., Jeffrey, E. & Kwiat, P. Photonic state tomography. Advances In Atomic, Molecular, And Optical Physics. 52 pp. 105-159 (2005)

[7] Arjovsky, M., Chintala, S. & Bottou, L. Wasserstein generative adversarial networks. International Conference On Machine Learning. pp. 214-223 (2017)

[8] Arora, S. &...

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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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