Quantum computing is an extremely promising tool that could dramatically change many engineering fields where computationally heavy tasks have to be dealt with such as electromagnetic optimization. Electromagnetic problems, in fact, are extremely computationally expensive, and an heuristic optimization may need thousands of generations. In this paper, the problems and the potential of the introduction of quantum computing in optimization has been investigated. Numerical results on the preliminary test are provided here while more detailed results will be directly presented at the conference.

Novel Quantum Computation Based Selection Operator for Genetic Algorithms Applied to Electromagnetic Problems

Martinez G. F.;Zich R.
2024-01-01

Abstract

Quantum computing is an extremely promising tool that could dramatically change many engineering fields where computationally heavy tasks have to be dealt with such as electromagnetic optimization. Electromagnetic problems, in fact, are extremely computationally expensive, and an heuristic optimization may need thousands of generations. In this paper, the problems and the potential of the introduction of quantum computing in optimization has been investigated. Numerical results on the preliminary test are provided here while more detailed results will be directly presented at the conference.
2024
2024 18th European Conference on Antennas and Propagation (EuCAP)
Electromagnetic optimization
Genetic algorithms
Quantum computing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1299405
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