Quantum AI Emerging Technologies

Driving Innovation and Shaping the Future of Nanotechnology (Volume II) : Quantum AI Emerging Technologies
Erscheinungsjahr 2027
ISBN: 978-981-959933-2
Verlag: Springer Nature B.V.

Buch, Englisch, 912 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 2390 g

The book is designed to serve as a comprehensive guide for both researchers and professionals interested in exploring the transformative impact of quantum computing and AI on VLSI circuits and embedded systems. As the boundaries of computational science continue to expand, Volume II Quantum AI Emerging Technologies turns its focus to where theory meets application—where the conceptual foundation laid in Volume I is transformed into practical, system-level innovations.

This volume explores how quantum computing and artificial intelligence are revolutionizing key technological domains, ranging from robotics and cloud computing to cybersecurity, neuromorphic computing, smart city, IoT, blockchain, nuclear engineering, big data analytics, human-computer interaction, image processing, and healthcare. It also covers a wide range of topics, from the basic definitions and principles of quantum circuits to advanced architectures for integrating quantum and classical systems. Each chapter provides a deep dive into specific aspects of quantum computing's influence on hardware design, including quantum machine learning for VLSI placement, the development of quantum integrated circuits, and the design of quantum enhanced embedded systems, etc. In addition, Volume II considers many other challenging topics in our real-life to resolve practical problems by quantum AI which are not usually available. 

This book aims to serve as a roadmap for the present and future of quantum-AI integration. It is intended to inform not just researchers and engineers, but also educators, entrepreneurs, and policymakers. The journey of intelligent quantum systems has only just begun, and it is one that will shape the future of computation, society, and the planet.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Hasan Babu, Hafiz Md.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Naturwissenschaften Physik Quantenphysik
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker

Inhaltsverzeichnis

1. Quantum Artificial Intelligence with VLSI Circuits and Embedded Systems and Their Applications to Next Generation Nanotechnology.- 2. Quantum Computing through Photonics: The Inevitable Opportunity for New Possibilities in Nanotechnology.- 3. Unleashing the Power of Quantum Embedded Systems: Revolutionizing the Future of Smart Technology.- 4. Very Large-Scale Integrated Quantum Photonics: Multidimensional quantum entanglement with large-scale integrated optics.- 5. A Neutral Atom Quantum Computer: An Intriguing Quantum Computing Platform.- 6. CMOS Technology in Quantum Computing: Scaling Silicon-Based Quantum Computing Using CMOS Technology.- 7. The Quantum Brain: Brain works as a Quantum System Using Quantum Biology and Neurotechnology.- 8. Synthesis of Quantum VLSI Circuits: Fast and Versatile Quantum Circuits.- 9. Optimization of Quantum VLSI Circuits and Embedded Systems: Making Smaller and Smarter Future Nanotechnology.- 10. Optimization of Quantum Memory and Arithmetic Circuits and Minimization of Functions: Building the Resource and Time Efficient Quantum Circuits.

Über Autor(innen)

Dr. Hafiz Md. Hasan Babu is currently working as a Professor in the Department of Computer Science & Engineering, University of Dhaka, Bangladesh. He also served as the Dean at the Faculty of Engineering and Technology of the University of Dhaka, Bangladesh. In addition, he was a member of Bangladesh Accreditation Council, Ministry of Education of the Government of the People’s Republic of Bangladesh. Dr. Hasan Babu also served as a director of the Board of Directors of Bangladesh Submarine Cable Company Limited. He was the Chairman of the Department of Computer Science and Engineering of the University of Dhaka from 19-02-2003 to 18-02-2006 and Pro-Vice-Chancellor of National University of Bangladesh from 12-07-2016 to 12-07-2020. He was also a Professor and the Founding Chairman of the Department of Robotics and Mechatronics Engineering, University of Dhaka. Professor Dr. Hafiz Md. Hasan Babu earned a PhD in Computer Science and Electronics from Kyushu Institute of Technology in Japan through a Japanese Government Scholarship, and an MSc in Computer Science and Engineering from Brno University of Technology in the Czech Republic through a Czech Government Scholarship. He also awarded the DAAD Fellowship from Germany.