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Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
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Polarization and wavelength routers based on diffractive neural network.

Xiaohong Lin1, Yulan Fu2, Kuo Zhang3

  • 1School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing, 100124, China.

Frontiers of Optoelectronics
|July 15, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed novel all-optical routers using deep diffractive neural networks (D2NN). These compact, low-loss devices can route light by wavelength and polarization, advancing optical information processing.

Keywords:
All-optical routersOptical diffractive neural networkPolarization degree of freedomWavelength degree of freedom

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Area of Science:

  • Photonics and Optical Engineering
  • Information Processing Technologies
  • Nanophotonics

Background:

  • All-optical routers are crucial for high-speed, high-capacity optical information processing and transmission.
  • Existing routing technologies face limitations in speed, capacity, and integration.

Purpose of the Study:

  • To design and demonstrate structurally simple and flexible all-optical routers using deep diffractive neural networks (D2NN).
  • To enable routing based on both wavelength and polarization for enhanced information processing.

Main Methods:

  • Development of three types of routers utilizing deep diffractive neural network (D2NN) structures.
  • Implementation of a polarization router for two orthogonal polarizations.
  • Design of a wavelength router for 1550, 1300, and 1100 nm wavelengths.
  • Creation of a composite router for combined wavelength and polarization routing.

Main Results:

  • Demonstrated a polarization router for orthogonally polarized light.
  • Achieved low insertion loss (0.013 dB) and high extinction ratio (18.96 dB) for wavelength routing, with excellent polarization preservation.
  • Developed a composite router capable of handling six input combinations of wavelength and polarization.
  • Devices exhibit compact structures, high contrast, low loss, and passive characteristics.

Conclusions:

  • The developed D2NN-based routers offer a flexible and efficient solution for optical signal routing.
  • These devices show significant potential for integration into future optical components and systems.
  • The study presents novel methodologies for advancing optical information processing capabilities.