Quantum Optimization Methods for Unconventional Antenna Arrays Design

In this work, a novel methodology for the design of unconventional phased arrays characterized by a thinned layout and aimed at the suppression of interference signals is presented. The Quantum Approximate Optimization Algorithm (QAOA), namely a hybrid quantum-classical optimization strategy, is employed to find a thinning configuration able to suppress the interfering power coming from know direction. In order to enable the use of the QAOA, the interference suppression objective is properly reformulated as an Hamiltonian energy minimization problem.