Quantum Computing and Artificial Intelligence: The Industry Use Cases

ISBN 10: 1394242360 / ISBN 13: 9781394242368

Published by Wiley-Scrivener, 2025

About this Item

Seller Inventory # V9781394242368

Bibliographic Details

• Title: Quantum Computing and Artificial Intelligence: The Industry Use Cases
• Publisher: Wiley-Scrivener
• Publication Date: 2025
• Language: English
• ISBN 10: 1394242360
• ISBN 13: 9781394242368
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book explores the essential role of quantum computing and artificial intelligence in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniques. Through real-world examples, it offers valuable insights on nanomaterials to improve medical solutions.

 

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.