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Polarization and wavelength routers based on diffractive neural network

07.31.24 | Higher Education Press

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The concept of deep diffractive neural networks (D 2 NN) was introduced by Professor Ozcan’s research team in 2018. D 2 NN combines the principles of light diffraction with the functionalities of neural networks. It consists of a series of continuous diffractive layers. As light passes through these layers, variations in transmission or reflection coefficients at different positions cause changes in the light's phase and amplitude. Essentially, D 2 NN uses specially designed surfaces to precisely control light characteristics and output positions, enabling the processing of optical signals with exceptional speed and efficiency. This innovative approach opens new possibilities for optical computing and communication.

The research teams of Xiaoyong Hu and Yulan Fu have shown great interest in the applications of D 2 NN. They have utilized this technology to develop three types of all-optical routers, which can guide light based on its wavelength and polarization, achieving efficient optical signal control.

The first router developed is a polarization router, capable of routing two orthogonally polarized light beams. The wavelength router can route light of three wavelengths (1550, 1300, and 1100 nm) with excellent polarization maintenance. The polarization-wavelength composite router, by integrating wavelength and polarization degrees of freedom, is capable of handling six types of input light, thereby enhancing the information processing capability of the device. These devices' compact and passive design makes them ideal for integration into future optical devices. These advancements can lead to faster internet speeds and more reliable communication networks. The researchers predict that expanding the wavelength channels can further increase information processing capacity.

The work entitled “ Polarization and wavelength routers based on diffractive neural network ” was published on Frontiers of Optoelectronics (published on July 16, 2024).

Frontiers of Optoelectronics

10.1007/s12200-024-00126-2

Experimental study

Not applicable

Polarization and wavelength routers based on diffractive neural network

16-Jul-2024

Keywords

Article Information

Contact Information

Rong Xie
Higher Education Press
xierong@hep.com.cn

Source

How to Cite This Article

APA:
Higher Education Press. (2024, July 31). Polarization and wavelength routers based on diffractive neural network. Brightsurf News. https://www.brightsurf.com/news/1476WX41/polarization-and-wavelength-routers-based-on-diffractive-neural-network.html
MLA:
"Polarization and wavelength routers based on diffractive neural network." Brightsurf News, Jul. 31 2024, https://www.brightsurf.com/news/1476WX41/polarization-and-wavelength-routers-based-on-diffractive-neural-network.html.