Modified Oracles for Quantum Selection Applied to Electromagnetic Problems

The emergence of quantum computing has brought with it multiple applications like hybrid classic-quantum evolutionary optimization algorithms. In electromagnetics, optimization has always been present to increase the performance of complex systems. This paper presents two new oracles for the genetic algorithm with quantum selection and its newer version that uses simulated binary crossover. These algorithms are applied to two common electromagnetic optimization problems showing strong results and demonstrating the flexibility that these hybrid algorithms have by making small changes to their quantum circuits.