Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Photonic integrated neural network accelerators

Not Accessible

Your library or personal account may give you access

Abstract

The paper reports MZI-based photonic integrated devices fabricated in silicon- on-insulator and silicon nitride platforms acting as linear optical processors, and discusses their suitability for accelerating state-of-the-art neural networks for computer vision.

© 2021 The Author(s)

PDF Article
More Like This
A Silicon Nitride Reconfigurable Linear Optical Processor

L. De Marinis, G. Contestabile, P. Castoldi, and N. Andriolli
Tu1C.6 Optical Fiber Communication Conference (OFC) 2021

Integrated Photonic Synaptic Interconnect Processor for Acceleration of Deep Neural Network Training

R. Dangel, F. Horst, and B. J. Offrein
IM2A.1 Integrated Photonics Research, Silicon and Nanophotonics (IPRSN) 2020

Photonic convolutional accelerator and neural network in the Tera-OPs regime based on soliton crystal Kerr microcombs

M. Tan, X. Xu, J. Wu, A. Boes, B. Corcoran, T. Nguyen, S. T. Chu, B. E. Little, R. Morandotti, A.J. Lowery, A. Mitchell, D. Hicks, and D. J. Moss
SpM5C.1 Signal Processing in Photonic Communications (SPPCom) 2021

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved