Deep learning with coherent nanophotonic circuits
Yichen Shen,Nicholas C. Harris,Scott Skirlo,Dirk Englund,Marin Soljacic +4 more
- Vol. 11, Iss: 7, pp 441-446
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TLDR
A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.Abstract:
Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics.read more
Citations
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Hybrid memristor optoelectronic integrated circuits for optical computing
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High-Production-Rate Fabrication of Low-Loss Lithium Niobate Electro-Optic Modulators Using Photolithography Assisted Chemo-Mechanical Etching (PLACE)
Rong Han Wu,Lan Gao,Youting Liang,Yong Zheng,Junxia Zhou,Hongxing Qi,Di-sa Yin,Min Wang,Zhiwei Fang,Yan-hong Cheng +9 more
TL;DR: In this article , a high performance thin-film LN EO modulator using photolithography assisted chemo-mechanical etching (PLACE) technology is presented.
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TL;DR: In this paper , the authors proposed a direct feedback alignment (DFA) method based on random projection with alternative nonlinear activation, which can train a physical neural network without knowledge about the physical system and its gradient.
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A Heterogeneous Silicon on Lithium Niobate Modulator for Ultra-Compact and High-Performance Photonic Integrated Circuits
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Fully tunable and switchable coupler for photonic routing in quantum detection and modulation.
TL;DR: Verified long-term stable operation of the coupler at the single-photon level makes it suitable for a wide application range in quantum information processing and quantum optics in general.
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