Nanoprinted high-neuron-density optical linear perceptrons performing near-infrared inference on a CMOS chip
Abstract Optical machine learning has emerged as an important research area that, by leveraging the advantages inherent to optical signals, such as parallelism and high speed, paves the way for a future where optical hardware can process data at the speed of light. In this work, we present such opti...
Main Authors: | Elena Goi, Xi Chen, Qiming Zhang, Benjamin P. Cumming, Steffen Schoenhardt, Haitao Luan, Min Gu |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
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Series: | Light: Science & Applications |
Online Access: | https://doi.org/10.1038/s41377-021-00483-z |
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