Index

Chapters in this book

1. Frontmatter I
2. Contents V
3. List of contributors VII
4. Chapter 1 Quantum computing in society: impacts and implications 1
5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
9. Chapter 6 Can quantum computers revolutionize health systems? 87
10. Chapter 7 Industrial automation and quantum computing 105
11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
12. Chapter 9 Quantum computing in machine learning: an overview 141
13. Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
18. Chapter 15 Quantum computing in drug and chemical 255
19. Index 279