Optica Open
Browse
arXiv.svg (5.58 kB)

Nanophotonic Media for Artificial Neural Inference

Download (5.58 kB)
preprint
posted on 2023-11-30, 06:29 authored by Erfan Khoram, Ang Chen, Dianjing Liu, Lei Ying, Qiqi Wang, Ming yuan, Zongfu Yu
We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, is encoded in the wave front of an input light. The medium transforms the wave front to realize sophisticated computing tasks such as image recognition. At the output, the optical energy is concentrated to well-defined locations, which for example can be interpreted as the identity of the object in the image. These computing media can be as small as tens of wavelengths and offer ultra-high computing density. They exploit sub-wavelength scatterers to realize complex input output mapping beyond the capabilities of traditional nanophotonic devices.

History

Disclaimer

This arXiv metadata record was not reviewed or approved by, nor does it necessarily express or reflect the policies or opinions of, arXiv.

Usage metrics

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC