Photonics Research, Vol. 7, Issue 8, 08000823 (2019)
Nanophotonic media for artificial neural inference
Erfan Khoram1, Ang Chen1, Dianjing Liu1, Lei Ying1, Qiqi Wang2, Ming Yuan3, and Zongfu Yu1,*
- 1Department of Electrical and Computer Engineering, University of Wisconsin Madison, Madison, Wisconsin 53706, USA
- 2Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- 3Department of Statistics, Columbia University, New York, New York 10027, USA
We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information is encoded in the wavefront of an input light. The medium transforms the wavefront to realize sophisticated computing tasks such as image recognition. At the output, the optical energy is concentrated in 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 subwavelength scatterers to realize complex input/output mapping beyond the capabilities of traditional nanophotonic devices.
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