1.7k citations · 4.3k across the 28 of their papers we have counts for
28 papers
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…
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,…
Multi-Wavelength Photonic Neuromorphic Computing for Intra and Inter-Channel Distortion Compensations in WDM Optical Communication Systems
Benshan Wang, Thomas Ferreira de Lima, Bhavin J Shastri +2
DSP (digital signal processing) has been widely applied in optical communication systems to mitigate signal distortions and has become one of the key technologies that have sustain…
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…
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…
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…
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi +6
There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained using standard digita…
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…
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…
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
Taichu Shi, Yang Qi, Weipeng Zhang +2
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation. It can separate large bandwidth of mixed signals by small sampling frequency, wh…
Wideband photonic blind source separation with optical pulse sampling
Taichu Shi, Yang Qi, Weipeng Zhang +3
We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based…
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
Hsuan-Tung Peng, Joshua Lederman, Lei Xu +5
Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic mo…
Prospects and applications of photonic neural networks
Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…
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…
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…
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ult…
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…
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…
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Viraj Bangari, Bicky A. Marquez, Heidi B. Miller +6
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural langu…
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…
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…
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…
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…
Principles of Neuromorphic Photonics
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +3
In an age overrun with information, the ability to process reams of data has become crucial. The demand for data will continue to grow as smart gadgets multiply and become increasi…