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Nanophotonic media for artificial neural inference 被引量:16

Nanophotonic media for artificial neural inference
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摘要 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. 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.
出处 《Photonics Research》 SCIE EI CSCD 2019年第8期823-827,共5页 光子学研究(英文版)
基金 Defense Advanced Research Projects Agency(DARPA)(young faculty award)
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