Quantum Selection Optimization of a Multilayer Absorber with Frequency Dependent Materials

Electromagnetic absorbers are widely used in multiple applications. However, depending on the specific application they maybe subjected to a set of constraints. Taking into account that their characteristics are well known, their design is a textbook example for the application of evolutionary optimization techniques. In this paper, a hybrid classical-quantum evolutionary optimization algorithm is applied for the design of a multilayer electromagnetic absorber aiming to minimize the reflection coefficient and the absorber’s thickness. It is found that the hybrid optimization has an increased performance over traditional techniques in convergence speed and repeatability.