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
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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Resonant Tunneling Diode Nano-Optoelectronic Excitable Nodes for Neuromorphic Spike-Based Information Processing
Matěj Hejda,Juan Arturo Alanis,Ignacio Ortega-Piwonka,J. Lourenço,José Figueiredo,Julien Javaloyes,Bruno Romeira,Antonio Hurtado +7 more
TL;DR: In this article , an interconnected nano-optoelectronic spiking artificial neuron emitter-receiver system with low energy consumption and high spiking dynamical responses is proposed.
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Unitary learning for diffractive deep neural network
TL;DR: A unitary learning avenue on diffractive deep neural network is presented, meeting the physical unitary prior in coherent diffraction, and a compatible condition on how to select the nonlinear activation in complex space is unveiled.
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Tunable RF-photonic filtering with high out-of-band rejection in silicon
TL;DR: In this article, the authors demonstrate all-silicon RF-photonic multi-pole filters with ∼100 times higher spectral resolution than previously possible in silicon photonics, using engineered Brillouin interactions to access long-lived phonons.
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ROBIN: A Robust Optical Binary Neural Network Accelerator
TL;DR: In this paper, a novel optical-domain BNN accelerator, named ROBIN, is presented, which intelligently integrates heterogeneous microring resonator optical devices with complementary capabilities to efficiently implement the key functionalities in BNNs.
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A Silicon Photonics Computational Lensless Active-Flat-Optics Imaging System.
TL;DR: This work demonstrates the use of silicon photonics as a viable platform for computational imaging with a prototype lensless imaging device that has 20 sensors and a 45-degree field of view, and is contained within a 2,000 μ m volume.
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