activity
20192022
most citedSilicon microring synapses enable photonic deep learning beyond 9-bit precision

163 citations · 346 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2022★ 65 cited

Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation

Weipeng Zhang, Alexander Tait, Chaoran Huang +6

The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectiv…

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.optics2022

Nanophotonic cavity based synapse for scalable photonic neural networks

Aashu Jha, Chaoran Huang, Thomas Ferriera deLima +3

The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an o…

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.optics2021★ 69 cited

Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons

Aashu Jha, Chaoran Huang, Hsuan-Tung Peng +2

Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with…

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-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…