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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Journal ArticleDOI
High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks
Kostas Sozos,Adonis Bogris,Peter Bienstman,George Sarantoglou,Stavros Deligiannidis,Charis Mesaritakis +5 more
TL;DR: In this article , a new concept for realizing photonic recurrent neural networks and reservoir computing architectures with the use of recurrent optical spectrum slicing is presented, which is accomplished through simple optical filters placed in an loop, where each filter processes a specific spectral slice of the incoming optical signal.
Journal ArticleDOI
Enhanced on-chip phase measurement by inverse weak value amplification.
Meiting Song,John Steinmetz,Yi Zhang,Juniyali Nauriyal,Juniyali Nauriyal,Kevin Lyons,Andrew N. Jordan,Andrew N. Jordan,Jaime Cardenas,Jaime Cardenas +9 more
TL;DR: In this article, a generalized form of weak value amplification was implemented on an integrated photonic platform with a multi-mode interferometer, which can be adapted to fields such as coherent communications and the quantum domain.
Proceedings ArticleDOI
An Efficient Programming Framework for Memristor-based Neuromorphic Computing
Grace Li Zhang,Bing Li,Xing Huang,Chen Shen,Shuhang Zhang,Florin Burcea,Helmut Graeb,Tsung-Yi Ho,Hai Li,Ulf Schlichtmann +9 more
TL;DR: In this paper, the authors propose an efficient programming framework for memristor crossbars, where the programming process is partitioned into the predictive phase and the fine-tuning phase.
Journal ArticleDOI
All-optical phase control in nanophotonic silicon waveguides with epsilon-near-zero nanoheaters.
TL;DR: The unique light–matter interaction exhibited by epsilon-near-zero (ENZ) materials for all-optical phase control in nanophotonic silicon waveguides is investigated and a new approach to achieve all-Optical, on-chip, and low-loss phase tuning in silicon photonic circuits is provided.
Proceedings ArticleDOI
Phase change material integrated silicon photonics: GST and beyond
TL;DR: In this article, phase change materials (PCMs) such as GST are integrated with a Si ring resonator to demonstrate a quasi-continuous optical switch with extinction ratio as high as 33dB.
References
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