The book offers a comprehensive exploration of the fusion between quantum technology, AI, and robotics, providing readers with a deep understanding of the interplay between these fields and the transformative potential they hold.
The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology uncovers the potential of quantum algorithms to tackle complex computational problems exponentially faster than classical counterparts. Readers are introduced to quantum machine learning and its potential to revolutionize AI by enabling more efficient data analysis, pattern recognition, and decision-making. The book explores the potential applications of quantum-inspired neural networks and how they can enhance the capabilities of AI systems, ushering in a new era of intelligent machines. It also delves into the potential risks and challenges associated with quantum technology integration, such as quantum security and privacy concerns. The book showcases numerous real-world applications and examples of how quantum technology, AI, and robotics are being utilized today, giving readers concrete insights into how these advancements are shaping industries, health care, communication, and more.
This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, models, frameworks, theories, and practices in quantum technology.
Dr. Alex Khang, is a professor in information technology, IT Workforce Development Consultant for High-tech Corporations in USA and Vietnam; AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and USA. He has over 28 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, and Senior Software Production Consultant).
Dr. Kali Charan Rath, is an Associate Professor in the Department of Mechanical Engineering at GIET University, Odisha, India, with more than 18 years of experience in academia and research. He holds a Ph.D. degree in CAD/CAM from the National Institute of Technology, Jamshedpur, India. He has guided over 20 M. Tech students as a project supervisor. He has received recognition and awards for his contributions to knowledge dissemination. His research interests include Robotics and Automation, Smart Manufacturing Systems, IoT applications, Product design, Modeling and Simulation, CAD/CAM/CIM, Finite Element Analysis, and Design thinking and Innovation.
