Quantum Artificial Intelligence
Technologies, Algorithms and Programming
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 9 June 2026
- ISBN 9781032870755
- Binding Hardback
- No. of pages160 pages
- Size 280x210 mm
- Language English
- Illustrations 97 Illustrations, black & white; 21 Halftones, black & white; 76 Line drawings, black & white; 16 Tables, black & white 700
Categories
Short description:
With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to harness the transformative power of quantum technologies for the advancement of AI. It is a reference work for academics, scholars, and researchers interested in Quantum computing in artificial intelligence.
MoreLong description:
This book explores the transformative potential of quantum computing in artificial intelligence (AI) and its impact on various fields. It delves into the foundational concepts, mathematical frameworks, and algorithmic paradigms, providing a roadmap for interdisciplinary research of quantum computing in AI. With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to harness the transformative power of quantum technologies for societal and technological advancement.
Key Features
• Examines the architecture, foundations, mathematics, algorithms, programming, encryption techniques, predictive data analysis, tools/software, and applications associated with quantum computing in AI.
• Explores the challenges of quantum hardware scalability and stability, and outlines error correction and mitigation strategies in quantum computing.
• Discusses applications in industries like finance, healthcare, cybersecurity, and transportation, offering innovative solutions to complex challenges.
• Provides analysis of quantum encryption methods for enhanced data security in AI systems.
• Offers an evaluation of the cost‑effectiveness and practicality of quantum computing solutions.
It is a reference work for academics, scholars, and researchers interested in quantum computing in AI.
Table of Contents:
1. Introduction to Quantum Computing and Artificial Intelligence 2. Role of Artificial Intelligence in Quantum Computers: A New Era of Advancements 3. Navigating the Fusion of Quantum Artificial Intelligence Paradigm Principles and Algorithms 4. Future of Quantum Computing: Emerging Trends, Challenges and Applications 5. Quantum Encryption Techniques for Quantum Computers 6. Quantum Artificial Intelligence and its Benefits for Businesses 7. E-business using Quantum Computing and Quantum Artificial Intelligence Methodologies 8. A Comprehensive Analysis of the Integration of Quantum Artificial Intelligence with the Internet of Things 9. Quantum Adaptive Key Management and Optimization Network (QAKM-ON): Blockchain Integration to Enhance the Efficiency and Privacy in Quantum Networks 10. Blockchain-Powered Framework Scheme for Quantum Defensive Artificial Intelligence 11. Utilizing Quantum Computing for Modern Agriculture 12. Pros and Cons of Quantum Artificial Intelligence w.r.t. Applications 13. Unravelling the Mysteries of Quantum Entanglement's Revolution in Computing and Communication 14. Quantum Artificial Intelligence for Environmental Management
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