Quantum Computing for Internet of Things

Quantum Computing for Internet of Things, published as Volume 147 of the serial Advances in Computers, provides a comprehensive examination of the convergence of quantum computing and the Internet of Things (IoT). The volume introduces the fundamental principles of quantum computing, including qubits and quantum mechanics, and explores the architectures, enabling technologies, and intelligent applications that underpin modern IoT ecosystems. It highlights how quantum technologies can enhance IoT performance, security, optimisation, and data processing capabilities across diverse application domains.

The volume presents emerging advances in quantum-enabled IoT systems, including distributed quantum computing frameworks, quantum machine learning approaches, quantum simulation tools, and novel optimisation techniques tailored to IoT environments. Case studies and application-focused chapters demonstrate the use of quantum methods in military systems, climate change analysis, and healthcare analytics. The volume concludes by addressing key research challenges, implementation barriers, and future directions, making it a valuable resource for researchers and practitioners working at the intersection of quantum technologies and connected intelligent systems.

• Reviews the fundamental concepts and principles of quantum computing relevant to IoT applications
• Examines IoT architectures, enabling technologies, and intelligent connected systems
• Explores distributed quantum computing approaches and quantum simulation frameworks for IoT environments
• Highlights the application of quantum machine learning in climate analysis and healthcare classification problems
• Presents novel quantum optimisation techniques designed for large-scale IoT ecosystems
• Discusses current research challenges, technological limitations, and future opportunities for quantum-enabled IoT systems