Meta-optical Front-end for Imaging and Computing

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Huang, Luocheng

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Abstract

This thesis delves into the world of meta-optics, with its immense potential for revolutionizingimaging and computing. The motivation arises from the limitations of conventional optics, inspiring the exploration of innovative meta-optic solutions. The work begins with a foundation in metasurfaces, examining issues such as chromatic aberrations in metalenses and the development of multiwavelength polychromatic metalenses. It further delves into dispersion engineering and computational imaging, setting the stage for the discussions that follow. Subsequent chapters explore the extension of depth of focus and the application of long-wavelength infrared (LWIR) meta-optics, examining design, fabrication, and characterization through both forward and inverse design approaches. The study also explores the exciting potential of meta-optics for optical computation, an area that could greatly benefit from the speed and efficiency of light-based calculations. The thesis concludes with an outlook on the future of meta-optics, discussing potential developments such as standardizing image quality benchmarking, designing larger aperture systems, enhancing efficiency, and future directions in computational meta-optics. Overall, this thesis illuminates the potential of meta-optics to transform imaging and computing, aiming to inspire further research and innovation in this burgeoning field.

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Thesis (Ph.D.)--University of Washington, 2023

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