Next-Generation Orchestration: Quantum Computing for Network Services

As the demand for high-performance and dynam-ically adaptable network services continues to grow, the convergence of quantum computing and network orchestration represents a promising development. This paper explores the transformative potential of quantum computing in the orches-tration of network services and introduces new paradigms that transcend classical limitations. Using a case study, we propose a workflow for an exemplary link failure process for generative AI (GenAI) and quantum computing-based service orchestration in an edge cloud (EC) network. Later, we address the challenges of integrating services based on quantum computing (using a quan-tum search algorithm to select the best connections) with GenAI-based topology control and management in an orchestration framework. Our work also introduces multi-solution quantum search for orchestrating services across different edge clouds, emphasizing efficiency and accuracy. Algorithmic considerations, including the impact of the oracle and hybrid approaches, are also thoroughly explored. We conclude the paper with potentials and comparisons of possible GenAl techniques and quantum search algorithms in terms of their advantages and disadvantages.