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Nonlinear analog processing with anisotropic nonlinear films.

Michele Cotrufo1,2, Domenico de Ceglia3,4, Hyunseung Jung5

  • 1Photonics Initiative, Advanced Science Research Center, City University of New York, New York, NY 10031, USA.

Nanophotonics (Berlin, Germany)
|November 17, 2025
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Summary
This summary is machine-generated.

This study introduces nonlinear operations to metasurface-based analog optical processing, overcoming limitations of digital computing. Researchers demonstrated a novel method for broadband, polarization-selective edge detection using light.

Keywords:
analog image processingmetasurfacesnonlinear

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Area of Science:

  • Optics and Photonics
  • Nanotechnology
  • Computational Science

Background:

  • Digital signal processing faces memory and speed limitations in modern technologies.
  • Metasurface-based analog optical computing offers a promising alternative for compact nanophotonic systems.
  • Current metasurface analog computing is limited to linear operations, restricting applications to Fourier optics.

Purpose of the Study:

  • To introduce nonlinear optical operations into metasurface-based analog computing.
  • To demonstrate the synthesis of optical kernels beyond linear Fourier optics.
  • To experimentally realize nonlinear operations for analog-domain edge detection.

Main Methods:

  • Leveraging nonlinear optical phenomena and nonlocality in flat optics.
  • Designing and fabricating patterned flat optical elements (metasurfaces).
  • Experimental synthesis of nonlinear optical operations for edge detection.

Main Results:

  • Successfully introduced nonlinear operations to metasurface analog optical processing.
  • Demonstrated the ability to synthesize kernels beyond linear Fourier optics.
  • Reported experimental realization of broadband, polarization-selective analog-domain edge detection.

Conclusions:

  • Nonlinear metasurface-based analog optical processing opens new avenues beyond linear Fourier optics.
  • This approach can overcome critical bottlenecks in digital signal processing.
  • The demonstrated edge detection showcases the practical potential of nonlinear analog optical computing.