Advancements in metasurfaces for polarization control: A comprehensive survey

Abstract

Metasurfaces , composed of sub-wavelength-scale engineered structures, have revolutionized the manipulation of light, providing unprecedented control over optical properties such as polarization, phase, and amplitude. This survey paper explores recent advancements in metasurfaces, focusing on their application for polarization control. We examine the design principles underlying these metasurfaces, including phase manipulation, unit cell engineering, material selection, and spatial arrangement. The role of machine learning techniques for the inverse design of metasurfaces is also explored, highlighting their potential to optimize designs for specific polarization functionalities. The paper delves into vector beams with spatially inhomogeneous polarization, discussing their significance in high-resolution microscopy, optical communication , quantum information processing , and other emerging applications. The latest trends in using machine and deep learning for metasurface design are addressed, particularly in the context of overcoming traditional challenges such as tunability, bandwidth limitations, and fabrication constraints. We also explore advanced techniques like geometric and Pancharatnam-Berry phase manipulation, nonlinear metasurfaces, and space-variant polarization control. These innovations enable dynamic, reconfigurable, and multi-functional metasurfaces capable of adapting to a wide range of optical functions. The paper concludes by identifying future research directions, emphasizing the integration of adaptive metasurfaces with real-time control mechanisms and the potential for breakthroughs in quantum optics , imaging, and sensing technologies. Through these advancements, metasurfaces are expected to drive significant progress in the development of compact, efficient, and versatile optical devices .

Topics & Concepts