Work

Energy Distribution Optimization Using Variational Quantum Algorithms

Year: 2024

Type: conference-paper

Abstract: Quantum computing is emerging as a key tool for enhancing energy management, particularly in areas like resource allocation and renewable energy distribution. Although fault-tolerant quantum computers are still in development, current Noisy Intermediate-Scale Quantum (NISQ) technology shows promise for solving optimization problems using variational quantum algorithms. In this paper, the energy distribution problem for a community with one battery is solved using the Quantum Approximate Optimization Algorithm (QAOA) and the Variational Quantum Eigensolver (VQE) in quantum circuit simulators. This proof of concept provides insights into their potential and limitations for real-world energy applications.

DOI: 10.17979/spudc.9788497498913.30

Authors: Guillermo Rubiños Rodríguez, Mateo Alonso, Xela García-Santiago, Gonzalo Blázquez Gil

Institution: Instituto Tecnológico de Galicia

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Funders: Centro para el Desarrollo Tecnológico Industrial, H2020 European Research Council

Award: G7586889073