Contents

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. 1 Quantum computing: a paradigm shift from conventional computing 1
5. 2 An exploration of quantum computing: concept, architecture, and innovative applications 21
6. 3 Quantum machine learning in healthcare: diagnostics and drug discovery 39
7. 4 Quantum machine learning in finance 65
8. 5 Crucial role of blockchain in quantum computing: enhancing security and trust 79
9. 6 Algorithmic exploration of unveiling fault tolerance in quantum machine learning 103
10. 7 Quantum machine learning in renewable energy systems 131
11. 8 Decentralized quantum machine learning: distributed quantum computing for enhanced learning 149
12. 9 Quantum reinforcement learning: decision-making in quantum environments 171
13. 10 Quantum machine learning in natural language processing: opportunities and challenges 199
14. 11 Unveiling intelligence: exploring variational quantum circuits as machine learning models 217
15. 12 Methods and tools to improve quantum software quality: a survey 245
16. 13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning 273
17. 14 Future trends and research horizons in quantum machine learning 293
18. Biographies 321
19. Index 323