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
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Emerging devices and packaging strategies for electronic-photonic AI accelerators: opinion
TL;DR: In this paper , the authors share viewpoints, challenges, and prospects of electronic-photonic neural network (NN) accelerators, and review the emerging electro-optic materials, functional devices, and system packaging strategies that, when realized, provide significant performance gains and fuel the ongoing AI revolution, leading to a stand-alone photonics-inside AI ASIC-black-box for streamlined plug-and-play board integration in future AI processors.
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Photonic extreme learning machine by free-space optical propagation
TL;DR: This work points out an optical machine learning device that is easy-to-train, energetically efficient, scalable and fabrication-constraint free, and can be generalized to a plethora of photonic systems, opening the route to real-time neuromorphic processing of optical data.
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Highly Efficient Silicon Photonic Microheater Based on Black Arsenic–Phosphorus
Yingjie Liu,Huide Wang,Shuai Wang,Yujie Wang,Yujie Wang,Yunzheng Wang,Zhinan Guo,Shumin Xiao,Yong Yao,Qinghai Song,Han Zhang,Ke Xu +11 more
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Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals
TL;DR: In this article, the authors show that the carefully tailored medium can be replaced with a random medium, subject to an appropriate shaping of the incident wave front, using tunable metasurface reflect-arrays.
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Refractive Uses of Layered and Two-Dimensional Materials for Integrated Photonics
TL;DR: The scientific community has witnessed tremendous expansion of research on layered (i.e., two-dimensional, 2D) materials, with increasing recent focus on applications to photonics as discussed by the authors.
References
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