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