Quantum Computing: Applications and Challenges
This book is intended for academics, researchers, Ph.D. students, and industrials to learn about quantum computing and prepare them to understand the future with its cutting-edge tools. Quantum computing holds great promise in terms of human life quality especially when combined with artificial inte...
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| Autres auteurs: | , |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Édition: | 1st ed. 2024. |
| Collection: | Information Systems Engineering and Management,
2 |
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| Accès en ligne: | https://doi.org/10.1007/978-3-031-59318-5 |
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Table des matières:
- Chapter 1. An Overview of Quantum Key Agreement Protocols
- Chapter 2. Variational Circuit based Hybrid Quantum-Classical Algorithm VC-HQCA
- Chapter 3 Quantum computing in Non Destructive Testing of Materials
- Chapter 4. Enhanced Gaussian Quantum Particle Swarm Optimization for the Clustering of Biomedical Data
- Chapter 5. Quantum Inspired Grey Wolf Optimizer for Convolutional Neural Network Hyperparameter Optimization
- Chapter 6. Frequent itemsets mining using new quantum inspired elephant swarm algorithm
- Chapter 7. Quantum Slime Mould Algorithm and application to urgent transportation
- Chapter 9. Quantum FP-Growth for Association Rules Mining
- Chapter 10 Gaussian Quantum-behaved PSO strategy for Lithium Battery model optimization
- Chapter 11. Quantum Recurrent Neural Networks for Soil Profiles Prediction in Türkiye
- Chapter 12. Q-CODA: Co-Designing Quantum Codes and Architectures for Hardware-Aware Quantum Error Correction
- Chapter 13. Quantum Computing for Computer Vision: Applications, Challenges, and Research Tracks
- Chapter 14. A multiparty efficient semi-quantum secret sharing protocol of specific bits
- Chapter 15. Quantum Convolution for Convolutional Neural Networks
- Chapter 16. A Quantum-Inspired Deep Learning Models for Skin Lesion Classification.