1.5k citations · 11k across the 58 of their papers we have counts for
12 papers · 1 filter
Optical Adaptive LMS Equalizer with an Opto-electronic Feedback Loop
Xumeng Liu, Xingyuan Xu, Arthur James Lowery
We propose a photonic adaptive Least-Mean-Squares equalizer with an opto-electronic feedback loop to determine the updating of an optical Finite-Impulse-Response filter's weights,…
Integral order photonic RF and microwave signal processors based on soliton crystal Kerr micro-combs
Mengxi Tan, Xingyuan Xu, David J. Moss
Soliton crystal micro-combs are powerful tools as sources of multiple wavelength channels for radio frequency (RF) signal processing. They offer a compact device footprint, large n…
Frequency comb distillation for optical superchannel transmission
Chawaphon Prayoonyong, Andreas Boes, Xingyuan Xu +7
Optical frequency combs can potentially provide an efficient light source for multi-terabit-per-second optical superchannels. However, as the bandwidth of these multi-wavelength li…
Highly tunable broadband RF photonic fractional Hilbert transformer based on a Kerr soliton crystal microcomb source
Mengxi Tan, Xingyuan Xu, David J. Moss
We demonstrate an RF photonic fractional Hilbert transformer based on an integrated Kerr micro-comb source featuring a record low free spectral range of 48.9 GHz, yielding 75 micro…
Ultra-high bandwidth fiber-optic data transmission with a single chip source
David J. Moss
We report world record high data transmission over standard optical fiber from a single optical source. We achieve a line rate of 44.2 Terabits per second (Tb/s) employing only the…
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks
Mengxi Tan, Xingyuan Xu, David J. Moss
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a novel approach to ONNs that uses integrated K…
Optical neuromorphic processing at Tera-OP/s speeds based on Kerr soliton crystal microcombs
Mengxi Tan, Xingyuan Xu, David J. Moss
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features…
Photonic Microwave and RF Channelizers using Kerr Micro-combs
Mengxi Tan, Xingyuan Xu, David J. Moss
We review recent work on broadband RF channelizers based on integrated optical frequency Kerr micro-combs combined with passive micro-ring resonator filters, with microcombs having…
High bandwidth temporal RF photonic signal processing with Kerr micro-combs: integration, fractional differentiation and Hilbert transforms
Mengxi Tan, Xingyuan Xu, Jiayang Wu +1
Integrated Kerr micro-combs, a powerful source of many wavelengths for photonic RF and microwave signal processing, are particularly useful for transversal filter systems. They hav…
Optical data transmission field trial @ 44Tb/s with a 49GHz Kerr soliton crystal microcomb
Mengxi Tan, Xingyuan Xu, David J. Moss
We report world record high data transmission over standard optical fiber from a single optical source. We achieve a line rate of 44.2 Terabits per second (Tb/s) employing only the…
Broadband photonic RF channelizer with a Kerr soliton crystal micro-comb
Mengxi Tan, Xingyuan Xu, David J. Moss
We report a 92 channel RF channelizer based on a 48.9 GHz integrated micro-comb that operates via soliton crystals, together with a passive high-Q ring resonator that acts as a per…
Soliton crystal Kerr microcombs for high-speed, scalable optical neural networks at 10 GigaOPs/s
Xingyuan Xu, Mengxi Tan, David J. Moss
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a new approach to ONNs based on integrated Kerr…