Quantum Computing and IOT Integration For Next-Generation Smart Systems

Abstract: The rapid expansion of the Internet of Things (IoT) has transformed the way physical devices communicate, process information, and provide intelligent services. With billions of interconnected devices generating enormous volumes of heterogeneous data, conventional computing architectures increasingly face limitations in computational efficiency, security, optimisation, and scalability. Quantum computing has emerged as a disruptive paradigm capable of solving computationally intensive problems exponentially faster than classical computers for selected problem classes. Integrating quantum computing with IoT offers unprecedented opportunities for intelligent decision-making, real-time optimisation, secure communication, and enhanced machine learning.

Quantum-enhanced IoT (QIoT) combines quantum algorithms, quantum machine learning, quantum communication, and post-quantum cryptography to create highly efficient and secure smart systems. Applications span healthcare, industrial automation, smart cities, intelligent transportation, agriculture, finance, energy management, and autonomous systems. Despite these promising opportunities, practical deployment faces several challenges, including hardware limitations, quantum decoherence, interoperability, high implementation costs, algorithmic complexity, and lack of standardised architectures. Recent research has increasingly shifted from theoretical discussions toward practical hybrid quantum- classical architectures and post-quantum security mechanisms suitable for resource-constrained IoT environments.

This review presents a comprehensive analysis of the integration of quantum computing with IoT systems, discussing enabling technologies, architectures, applications, challenges, research trends, and future directions, and synthesising findings from leading journal publications between 2010 and 2025.

Keywords: Quantum Computing, Internet of Things, Quantum Internet of Things (QIoT), Quantum Machine Learning, Post-Quantum Cryptography, Smart Cities, Smart Healthcare, Industrial IoT, Edge Computing, Artificial Intelligence.