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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Proceedings ArticleDOI
Photonic Recurrent Ising Sampler
Charles Roques-Carmes,Yichen Shen,Cristian Zanoci,Mihika Prabhu,Fadi Atieh,Li Jing,Tena Dubček,Vladimir Ceperic,John D. Joannopoulos,Dirk Englund,Marin Soljacic +10 more
TL;DR: In this article, the authors present the Photonic Recurrent Ising Sampler (PRIS), an algorithm tailored for photonic parallel networks that can sample distributions of arbitrary Ising problems.
Journal ArticleDOI
Optical tensor core architecture for neural network training based on dual-layer waveguide topology and homodyne detection
Shaofu Xu,Weiwen Zou +1 more
TL;DR: The proposed optical tensor core architecture allows a large-scale dot-product array and can be integrated into a photonic chip and its effectiveness on neural network training is verified with numerical simulations.
Journal ArticleDOI
Weighing in on photonic-based machine learning for automotive mobility
Peer ReviewDOI
Photonic multiplexing techniques for neuromorphic computing
Yunping Bai,Xingyuan Xu,Meng Peun Tan,Yang Sun,Yonghui Li,Jiayang Wu,Roberto Morandotti,Arnan Mitchell,Kun Xu,David J. Moss +9 more
TL;DR: In this paper , the authors review the recent advances of ONNs based on different approaches to photonic multiplexing, and present their outlook on key technologies needed to further advance these photonic MIMO/hybrid-multiplexing techniques.
Journal ArticleDOI
Reconfigurable Integrated Optical Interferometer Network-Based Physically Unclonable Function
A. M. Smith,H. Shelton Jacinto +1 more
TL;DR: It is proposed that any tunable interferometric device of practical scale will be intrinsically unclonable and will possess an inherent randomness that can be useful for many practical applications.
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