Photonics Research, 2019, 7 (8): 08000823, Published Online: Jul. 3, 2019   

Nanophotonic media for artificial neural inference Download: 899次

Author Affiliations
1 Department of Electrical and Computer Engineering, University of Wisconsin Madison, Madison, Wisconsin 53706, USA
2 Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
3 Department of Statistics, Columbia University, New York, New York 10027, USA
Abstract
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.

Erfan Khoram, Ang Chen, Dianjing Liu, Lei Ying, Qiqi Wang, Ming Yuan, Zongfu Yu. Nanophotonic media for artificial neural inference[J]. Photonics Research, 2019, 7(8): 08000823.

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