Quantum Computing Approach for Energy Optimization in a Prosumer Community

• URL: http://arxiv.org/abs/2209.04411v1
• Date: Fri, 9 Sep 2022 17:28:09 GMT
• Title: Quantum Computing Approach for Energy Optimization in a Prosumer Community
• Authors: Carlo Mastroianni, Luigi Scarcello, Jacopo Settino
• Abstract summary: This paper presents a quantum approach for the formulation and solution of the prosumer problem, i.e., the problem of minimizing the energy cost incurred by a number of users in an energy community. As the problem is NP-complete, a hybrid quantum/classical algorithm could help to acquire a significant speedup.
• Score: 2.5008947886814186
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a quantum approach for the formulation and solution of the prosumer problem, i.e., the problem of minimizing the energy cost incurred by a number of users in an energy community, while addressing the constraints given by the balance of energy and the user requirements. As the problem is NP-complete, a hybrid quantum/classical algorithm could help to acquire a significant speedup, which is particularly useful when the problem size is large. This work describes the steps through which the problem can be transformed, reformulated and given as an input to Quantum Approximate Optimization Algorithm (QAOA), and reports some experimental results, in terms of the quality of the solution and time to achieve it, obtained with a quantum simulator, when varying the number of constraints and, correspondingly, the number of qubits.

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