Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology (Volume II)
Quantum AI Emerging Technologies
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Beschreibung
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.
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.
Focuses on bridging the gap between quantum computing and traditional VLSI systems Explores how quantum machine learning can enhance VLSI placement and circuit layout Provides a thorough guide on quantum integrated circuits, including topics like CMOS quantum photonic circuits
Autor*in
Hafiz Md. Hasan Babu
Themen in »Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology (Volume II)«
VLSI Circuits Quantum VLSI Quantum Robotics Quantum Cybersecurity Quantum Machine Learning Quantum Circuits AI Hardware Acceleration