Quantum Computing and Artificial Intelligence: The Industry Use Cases
About this ebook
This book is divided into three sections. The first section examines the fundamentals of quantum computing and its practical applications. The second section explores how quantum computing offers a myriad of opportunities to various industries, transitions between classical and quantum networks, and post-quantum cryptography. The third section further explores the exciting potential of quantum machine learning for Industry 4.0, as well as the applications of quantum computing and AI applications in the emerging Industry 5.0 landscape.
About the author
Pethura Raj, Ph.D., is the chief architect at Reliance Jio Platforms Ltd., Bangalore, India. His research focuses on the Internet of Things (IoT), artificial intelligence (AI), model optimization techniques, etc.
B. Sundaravadivazhagan, Ph.D., is a faculty member in the Department of Information Technology, University of Technology and Applied Science-AL Mussanah, Muladdah, Oman. His research interests include the Internet of Things, artificial intelligence and machine learning, deep learning, cloud computing, and cyber security.
Mariya Quaissa, Ph.D., is a professor of cybersecurity and networks at Cadi Ayyad University in Marrakech, Morocco. Her main research focuses on IoT, M2M, D2D, WSN, cellular networks, and vehicular networks.
V. Kavitha, Ph.D., is an assistant professor in the Department of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India. Her research interests include cyber security, IoT security, artificial intelligence, machine learning, and deep learning.
K. Shantha Kumari, Ph.D., works in the Department of Data Science and Business Systems, SRM Institute of Science and Technology, Chengalpattu, Tamil Nadu, India. Her research interests include data science, big data analytics, AI for good, blockchain, and cryptography.
