4.7 Article

Laplace metasurfaces for optical analog computing based on quasi-bound states in the continuum

Journal

PHOTONICS RESEARCH
Volume 9, Issue 9, Pages 1758-1766

Publisher

CHINESE LASER PRESS
DOI: 10.1364/PRJ.426827

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Funding

  1. National Key Research and Development Program of China [2019YFB1803904]
  2. Guangdong Basic and Applied Basic Research Foundation [2021A1515010257]
  3. National Natural Science Foundation of China [61805104, 61875076, 61935013, U2001601]
  4. Fundamental Research Funds for the Central Universities [21619411]
  5. Open Project of Wuhan National Laboratory for Optoelectronics [2018WNLOKF015]
  6. Leading Talents of Guangdong Province Program [00201502]

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This study introduces a Laplace metasurface capable of performing Laplace operation on light field patterns, achieving high resolution and nearly perfect isotropic second-order differentiation. Numerical validation confirms the effectiveness of the Laplace metasurface, and demonstrates its application in image processing.
Laplace operation, the isotropic second-order differentiation, on spatial functions is an essential mathematical calculation in most physical equations and signal processing. Realizing the Laplace operation in a manner of optical analog computing has recently attracted attention, but a compact device with a high spatial resolution is still elusive. Here, we introduce a Laplace metasurface that can perform the Laplace operation for incident lightfield patterns. By exciting the quasi-bound state in the continuum, an optical transfer function for nearly perfect isotropic second-order differentiation has been obtained with a spatial resolution of wavelength scale. Such a Laplace metasurface has been numerically validated with both 1D and 2D spatial functions, and the results agree well with that of the ideal Laplace operation. In addition, the edge detection of a concerned object in an image has been demonstrated with the Laplace metasurface. Our results pave the way to the applications of metasurfaces in optical analog computing and image processing. (C) 2021 Chinese Laser Press

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