Quantum-Inspired Algorithm Enhances Efficiency in Antenna Optimization

This article proposes a quantum-inspired algorithm (QIA) for the efficient optimization of antennas. Due to the complexity of electromagnetic (EM) wave theory, performing a full-wave simulation on an antenna is often computationally expensive and time-consuming. Consequently, this article introduces entangled states from quantum computing into antenna optimization, facilitating efficient exploration of optimal antenna design solutions. The specific contributions of this article are given as follows: 1) a method is proposed for creating internal entangled states among different antenna design variables within a single-antenna design solution, enabling the algorithm to effectively avoid less promising regions during the exploration of vast solution spaces, thereby making the search more targeted; and 2) a method is introduced for creating external entangled states between multiple-antenna design solutions, allowing the algorithm to process the evolution of multiple design solutions in parallel. With the aid of quantum entangled states, these contributions enable a more balanced exploration and exploitation of antenna design solutions, thereby enhancing the optimization speed of the antennas.