Quantum-Edge Cloud Computing for Future IoT Applications

Abstract

The Internet of Things (IoT) is witnessing exponential growth in recent years, leading to unprecedented data generation at the edge. Traditional cloud computing frameworks struggle to handle low-latency, high-volume processing required by IoT applications. Quantum-Edge Cloud Computing (QECC) emerges as a promising solution that combines the strengths of quantum computing, edge computing, and cloud infrastructure to support future IoT systems. This paper provides a comprehensive review of QECC, its architecture, enabling technologies, and potential applications. We discuss quantum-assisted edge processing, distributed quantum-cloud integration, and potential benefits such as ultra-fast computation, enhanced security, and energy efficiency. Challenges such as hardware limitations, scalability, and error correction are also addressed. Finally, potential research directions for realizing QECC-enabled IoT networks are highlighted.

KEYWORDS: Quantum Computing, Edge Computing, Cloud Computing, IoT, Quantum-Edge Cloud, Low-Latency Processing, Distributed Computing