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Information and Software Technology

Service engineering for quantum computing: Ensuring high-quality quantum services

Ana Díaz Muñoz, Jaime Alvarado‐Valiente, Javier Romero‐Álvarez, Enrique Moguel, José Manuel García-Alonso, Moisés Rodríguez, Ignacio García-Rodríguez, Juan M. Murillo

Published Dec 9, 2024• 7 citations
Publisher
DOI
10.1016/j.infsof.2024.107643

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Edge computing holds significant potential to revolutionize computation by providing rapid and widely accessible services to numerous devices at the network edge. For service providers, efficient service placement and workload allocation are critical to minimizing operational costs while ensuring high-quality user experiences. In this work, we formulate this problem as a mixed-integer linear program (MILP), which is computationally challenging due to its NP-hard nature. To address this, we propose an innovative hybrid quantum-classical algorithm that integrates recent advances in quantum computing with the Benders decomposition method. Specifically, the MILP is decomposed into a master problem, which, after a series of transformations, can be solved using a quantum annealer, and a linear programming subproblem handled by a classical solver. These two problems are iteratively updated and solved, with information exchanged between the quantum and classical solvers, until convergence is achieved. Numerical experiments validate the effectiveness and computational advantages of the proposed method, demonstrating its practical applicability to real-world edge computing scenarios.