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This book explores the transformative potential of Quantum computing in artificial intelligence 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 artificial intelligence. 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.
¿ Examines the architecture, foundations, mathematics, algorithms, programming, encryption techniques, predictive data analysis, tools/software, and applications associated with Quantum Computing in Artificial Intelligence.
¿ Explore challenges of quantum hardware scalability and stability and error correction and mitigation strategies in quantum computing
¿ Discusses applications in industries like finance, healthcare, cybersecurity, and transportation, offering innovative solutions to complex challenges.
¿ Analysis of quantum encryption methods for enhanced data security in AI systems
¿ Offers 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 artificial intelligence.
List 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
About the author
Deepika Ghai has completed her Ph.D in the area of Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She did her M.Tech in VLSI Design & CAD from Thapar University, Patiala, and B.Tech in Electronics and Communications Engineering from Rayat Institute of Engineering and Technology, Ropar. She is associated with Lovely Professional University as an Assistant Professor with more than four years of experience in academics. She received Dr. C.B. Gupta Award in 2021 at Lovely Professional University. She has published more than 35 research papers in refereed journals and conferences. She has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national IEEE journals and conferences.
Suman Lata Tripathi is working as Professor at Lovely Professional University with more than 21 years of experience in academics. She has completed her Ph.D. in the area of microelectronics and VLSI Design from MNNIT, Allahabad. She did her M.Tech in Electronics Engineering from UP Technical University, Lucknow, and her B.Tech in Electrical Engineering from Purvanchal University, Jaunpur. She is also a remote post-doc researcher at Nottingham Trent University, London, UK, in the year 2022. She has received the "Research Excellence Award" in 2019 and "Research Appreciation Award" in 2020, 2021 at Lovely Professional University, India. She is the recipient of the IGEN Women's for Green Technology "Women's Achievers Award" on International Women's Day, 8th March-2023. She received the best paper at IEEE ICICS-2018.
Ramandeep Sandhu gained her Ph.D. in Computer Science and Engineering from Lovely Professional University, Phagwara, Punjab, India. She did her M.Tech and B.Tech in Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana, Punjab, India. She is working as an Assistant Professor in the School of Computer Science and Engineering at Lovely Professional University, Phagwara, Punjab, India. She has more than 14 years of experience in academics. Before December 2019, she worked as an Assistant Professor at Chandigarh Group of Colleges, Mohali, India.
Sardar M. N. Islam (Naz), Ph. D, LL.B. (Law) is a Professor, ISILC, & Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence, UniSri, and an Adjunct Professor of IT and Business at Armstrong Institute, Melbourne, Australia. He has published 31 authored books plus 4 edited books and about 250 articles, including 60 Q1 and Q2 grade journal articles.
