Enhanced Holographic Beam Steering via Adaptive Meta-Surface Topology Optimization Utilizing Bayesian Optimization

**Abstract:** This paper introduces a novel approach to dynamic holographic beam steering by optimizing the topology of meta-surface elements using a Bayesian optimization framework. Current holographic beam steering solutions often suffer from limited angular range or inefficiencies. Our methodology leverages a high-resolution simulation environment to rapidly explore the vast configuration space of meta-surface designs, identifying optimal topologies that maximize beam steering efficiency and range. The resulting system offers significantly improved performance over traditional designs, with immediate application in advanced display systems, optical sensing, and free-space optical communication. This research demonstrates a commercially viable approach to adaptive holographic control, enabling significant advancements in numerous optical technologies.