activity
20142026
most citedPhotonics for artificial intelligence and neuromorphic computing

1.7k citations · 4.5k across the 54 of their papers we have counts for

collaborators
Showing physics.app-phShow all

10 papers · 1 filter

physics.app-ph2022★ 1 cited

Design Automation of Photonic Resonator Weights

Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau +8

Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems…

physics.app-ph2021★ 21 cited

Silicon photonic-electronic neural network for fibre nonlinearity compensation

Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima +12

In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are…

physics.app-ph2021★ 163 cited

Silicon microring synapses enable photonic deep learning beyond 9-bit precision

Weipeng Zhang, Chaoran Huang, Hsuan-Tung Peng +6

Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many…

physics.app-ph2020★ 4 cited

A Laser Spiking Neuron in a Photonic Integrated Circuit

Mitchell A. Nahmias, Hsuan-Tung Peng, Thomas Ferreira de Lima +4

There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these appr…

physics.app-ph2019★ 27 cited

Programmable Silicon Photonic Optical Thresholder

Chaoran Huang, Thomas Ferreira de Lima, Aashu Jha +4

We experimentally demonstrate an all-optical programmable thresholder on a silicon photonic circuit. By exploiting the nonlinearities in a resonator-enhanced Mach-Zehnder interfero…

physics.app-ph2019★ 56 cited

Noise Analysis of Photonic Modulator Neurons

Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5

Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…

physics.app-ph2019★ 1 cited

ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

Rubab Amin, Jonathan George, Shuai Sun +8

Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straigh…

physics.app-ph2019★ 21 cited

Demonstration of multivariate photonics: blind dimensionality reduction with analog integrated photonics

Alexander N. Tait, Philip Y. Ma, Thomas Ferreira de Lima +5

Multi-antenna radio front-ends generate a multi-dimensional flood of information, most of which is partially redundant. Redundancy is eliminated by dimensionality reduction, but co…

physics.app-ph2018★ 334 cited

A silicon photonic modulator neuron

Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias +4

There has been a recently renewed interest in neuromorphic photonics, a field promising to access pivotal and unexplored regimes of machine intelligence. Progress has been made on…

physics.app-ph2018★ 134 cited

Neuromorphic photonics with electro-absorption modulators

Jonathan George, Armin Mehrabian, Rubab Amin +7

Photonic neural networks benefit from both the high channel capacity- and the wave nature of light acting as an effective weighting mechanism through linear optics. The neuron's ac…