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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Silicon Photonics Codesign for Deep Learning
TL;DR: The detailed analysis of a silicon photonic integrated circuit shows that a codesigned implementation based on the decomposition of large matrix-vector multiplication into smaller instances and the use of nonnegative weights could significantly simplify the photonic implementation of the matrix multiplier and allow increased scalability.
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Myths and truths about optical phase change materials: A perspective
TL;DR: In this paper, the authors clarify some commonly held misconceptions about chalcogenide phase change materials and offer a perspective on new research frontiers in the field of PCM.
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Terahertz Pulse Shaping Using Diffractive Surfaces
Muhammed Veli,Deniz Mengu,Nezih T. Yardimci,Yi Luo,Jingxi Li,Yair Rivenson,Mona Jarrahi,Aydogan Ozcan +7 more
TL;DR: A diffractive network is presented, which is used to shape an arbitrary broadband pulse into a desired optical waveform, forming a compact and passive pulse engineering system, and a physical transfer learning approach is presented to illustrate pulse-width tunability.
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Superconducting optoelectronic loop neurons
Jeffrey M. Shainline,Sonia Buckley,Adam N. McCaughan,Jeff Chiles,Amir Jafari Salim,Manuel Castellanos-Beltran,Christine A. Donnelly,Michael L. Schneider,Richard P. Mirin,Sae Woo Nam +9 more
TL;DR: An amplifier chain that converts the current pulse generated when a neuron reaches threshold to a voltage pulse sufficient to produce light from a semiconductor diode is described, and it is shown that a synaptic weight can be modified via a superconducting flux-storage loop inductively coupled to the current bias of the synapse.
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Scaling capacity of fiber-optic transmission systems via silicon photonics
Wei Shi,Ye Tian,Antoine Gervais +2 more
TL;DR: In this article, the authors provide a system perspective and review recent progress in silicon photonics probing all dimensions of light to scale the capacity of fiber-optic networks toward terabits-per-second per optical interface and petabits per-transmission link.
References
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