The Utilization of Quantum Computing for AI Applications in Classical IT Network Environments

Abstract

Quantum computing is a new technological discovery that has the potential to transform industries based on high computational capabilities. This work explores how quantum computing will be integrated into AI applications and what impacts it will have on IT networks. A review of the recent literature shows that IT networks need to be upgraded to receive quantum-enhanced AI algorithms, as they require more computation power and faster real-time processing. It covers three major topics: the enabling of quantum AI applications, the role of QRC (quantum reservoir computing) in IT networking, and the challenges concerning the protocols of quantum communication, such as QKD (quantum key distribution). Network architectures of today’s state of the art will have to evolve toward enabling quantum-enabled AI, primarily regarding processing speed and interaction between the quantum and classical systems. This work, therefore, wishes to explain how such technological advances could influence AI applications and tune IT networks. We discuss the following questions: How can IT networks support the exploitation of quantum computing for AI applications? What effects do the dynamics and symmetries of quantum reservoir computing have on IT networks? Which IT networks can adapt to the challenges introduced by quantum computing technologies? The scope and depth of contributions reviewed in the articles together suggest huge potential for quantum computing in optimizing machine learning processes and IT networks with improved data handling and network management. At the same time, these ambitions are underlined by scaling concerns related to quantum hardware and qubit stabilization, and finally, the relative easiness with which quantum-classical computing is retrofitted into existing IT infrastructures. The findings suggest that hybrid quantum-classical systems will be essential in future IT infrastructure; efficiency and scalability will have to balance with security concerns in quantum computing environments.