The Quantum Evolution
Application of AI and Robotics in the Future of Quantum Technology
1st Edition
Published on 27. August 2024
Book
Hardback
520 pages
978-1-032-64205-5 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Professional Reference and Undergraduate Advanced
Product notice
sewn/stitched
Cloth over boards
Illustrations
41 s/w Photographien bzw. Rasterbilder, 99 s/w Zeichnungen, 33 s/w Tabellen, 140 s/w Abbildungen
33 Tables, black and white; 99 Line drawings, black and white; 41 Halftones, black and white; 140 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 30 mm
Weight
948 gr
ISBN-13
978-1-032-64205-5 (9781032642055)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Content
Chapter 1. The Quantum Shift: Transformative Innovations in the Digital Realm
Chapter 2. A Revolutionary Approach of Quantum Computing with its Future Applications
Chapter 3. Quantum Robotics: Towards Intelligent and Adaptive Robotic Systems
Chapter 4. Driving Transformative Technology Trends with Quantum-Based Artificial Intelligence (AI) Applications
Chapter 5. Merging Artificial Intelligence (AI) and Machine Learning (ML) with Quantum Technology
Chapter 6. Quantum Sensing and Metrology- Revolutionizing Measurement Science (Case Study on Industrial Application)
Chapter 7. Revolutionizing Healthcare Industry with Quantum Artificial Intelligence (AI) and Machine Learning (ML) Techniques
Chapter 8. Quantum Computing in Materials Science and Discovery
Chapter 9. Quantum Robotics in Healthcare: Innovations and Applications
Chapter 10. Innovations in Medical Manufacturing: A Review of 3D Printing, Robotics, and Internet of Things (IoT)
Chapter 11. Quantum Computing in Drug Discovery
Chapter 12. Quantum Precision in Medical Imaging: Deep Learning for Image Segmentation
Chapter 13. Quantum Computing of Computational Chemistry: Applications of Molecular Quantum Dynamics
Chapter 14. The Quantum Internet of Things: Revolutionizing the Financial Sector
Chapter 15. Quantum Computing in Medical Laboratory Science: From Ancient Methodologies to the Present Applications and Future Prospects
Chapter 16. Quantum Robotics in Space Exploration and Astrobiology
Chapter 17. Unraveling the Quantum Robotics Influence: Transforming Social Interaction for the Future
Chapter 18. Quantum Computing in Oil and Gas Exploration Industry
Chapter 19. Quantum-Powered Hate Speech Detection: Enhancing Recurrent Neural Networks (RNNs) for Safer Online Spaces
Chapter 20. Revolutionizing Quantum Robotics Applications for Enhancing Language Learning and Technology Self-Efficacy
Chapter 21. Quantum Robotics Ethics: Navigating the Ethical Implications of Artificial Intelligence (AI)-Enhanced Robots
Chapter 22. Quantum Computing and Big Data Analytics: Insights and Challenges
Chapter 23. Quantum Computing Cybersecurity - Exploring the Potential of Quantum Machine Learning Techniques in Intrusion Detection
Chapter 24. A Survey on Quantum Information Processing in Next Generation Digital Economy
Chapter 2. A Revolutionary Approach of Quantum Computing with its Future Applications
Chapter 3. Quantum Robotics: Towards Intelligent and Adaptive Robotic Systems
Chapter 4. Driving Transformative Technology Trends with Quantum-Based Artificial Intelligence (AI) Applications
Chapter 5. Merging Artificial Intelligence (AI) and Machine Learning (ML) with Quantum Technology
Chapter 6. Quantum Sensing and Metrology- Revolutionizing Measurement Science (Case Study on Industrial Application)
Chapter 7. Revolutionizing Healthcare Industry with Quantum Artificial Intelligence (AI) and Machine Learning (ML) Techniques
Chapter 8. Quantum Computing in Materials Science and Discovery
Chapter 9. Quantum Robotics in Healthcare: Innovations and Applications
Chapter 10. Innovations in Medical Manufacturing: A Review of 3D Printing, Robotics, and Internet of Things (IoT)
Chapter 11. Quantum Computing in Drug Discovery
Chapter 12. Quantum Precision in Medical Imaging: Deep Learning for Image Segmentation
Chapter 13. Quantum Computing of Computational Chemistry: Applications of Molecular Quantum Dynamics
Chapter 14. The Quantum Internet of Things: Revolutionizing the Financial Sector
Chapter 15. Quantum Computing in Medical Laboratory Science: From Ancient Methodologies to the Present Applications and Future Prospects
Chapter 16. Quantum Robotics in Space Exploration and Astrobiology
Chapter 17. Unraveling the Quantum Robotics Influence: Transforming Social Interaction for the Future
Chapter 18. Quantum Computing in Oil and Gas Exploration Industry
Chapter 19. Quantum-Powered Hate Speech Detection: Enhancing Recurrent Neural Networks (RNNs) for Safer Online Spaces
Chapter 20. Revolutionizing Quantum Robotics Applications for Enhancing Language Learning and Technology Self-Efficacy
Chapter 21. Quantum Robotics Ethics: Navigating the Ethical Implications of Artificial Intelligence (AI)-Enhanced Robots
Chapter 22. Quantum Computing and Big Data Analytics: Insights and Challenges
Chapter 23. Quantum Computing Cybersecurity - Exploring the Potential of Quantum Machine Learning Techniques in Intrusion Detection
Chapter 24. A Survey on Quantum Information Processing in Next Generation Digital Economy