activity
20152024
most citedSilicon microring synapses enable photonic deep learning beyond 9-bit precision

163 citations · 290 across the 10 of their papers we have counts for

collaborators

10 papers

cs.ET2024★ 1 cited

Neuromorphic Photonic Computing with an Electro-Optic Analog Memory

Sean Lam, Ahmed Khaled, Simon Bilodeau +5

In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC…

physics.optics2023★ 1 cited

A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency

Weipeng Zhang, Joshua C. Lederman, Thomas Ferreira de Lima +6

Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G…

eess.SP2023★ 15 cited

Real-Time Blind Photonic Interference Cancellation for mmWave MIMO

Joshua C. Lederman, Weipeng Zhang, Thomas Ferreira de Lima +4

Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can,…

physics.optics2023★ 7 cited

Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems

Matěj Hejda, Eli A. Doris, Simon Bilodeau +5

Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementat…

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.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…

cond-mat.mes-hall2015★ 3 cited

Mechanical Flip-Chip for Ultra-High Electron Mobility Devices

K. Bennaceur, B. A. Schmidt, S. Gaucher +6

Electrostatic gates are of paramount importance for the physics of devices based on high-mobility two-dimensional electron gas (2DEG) since they allow depletion of electrons in sel…

cond-mat.mes-hall2015★ 13 cited

Second Landau Level Fractional Quantum Hall Effects in the Corbino Geometry

B. A. Schmidt, K. Bennaceur, S. Bilodeau +3

For certain measurements, the Corbino geometry has a distinct advantage over the Hall and van der Pauw geometries, in that it provides a direct probe of the bulk 2DEG without compl…