Long Cheng,
Nishant Saurabh,
Ying Mao
Quantum Computational AI
Algorithms, Systems, and Applications
Paperback Engels 2025 9780443302596Levertijd ongeveer 9 werkdagen
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Samenvatting
Quantum Computational AI: Algorithms, Systems, and Applications is an emerging field that bridges quantum computing and artificial intelligence. With rapid advancements in both areas, this book serves as a vital resource, capturing the latest theories, algorithms, and practical applications at their intersection. It aims to be both informative and accessible, making it perfect for academics, researchers, industry professionals, and students eager to lead in these technologies. The book explores quantum algorithms, system design, and demonstrates real-world applications across various sectors. It provides a comprehensive understanding of how quantum principles can advance AI, revealing unprecedented possibilities and benefits.
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Inhoudsopgave
PART 1 Algorithms<br>1. Quantum reinforcement learning <br>2. Exploring quantum federated learning <br>3. Temporal-spatial quantum graph convolutional neural<br>network <br>4. Quantum unsupervised machine learning <br><br>PART 2 Systems<br>5. Distributed learning with quantum-classical collaborative<br>management <br>6. Hybrid quantum-classical reinforcement learning for<br>scheduling systems <br>7. Efficient full-state simulation for quantum AI systems <br>8. Machine learning in bosonic quantum systems <br><br>PART 3 Applications<br>9. Quantum support vector machine for power quality analysis<br>10. Quantum computing for automotive applications <br>11. Quantum-enhanced decision-making in ACT-R <br>12. Quantum federated learning for speech emotion<br>recognition
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