most citedMicrowave photonic fractional Hilbert transformer with an integrated optical soliton crystal micro-comb

440 citations · 1.6k across the 8 of their papers we have counts for

collaborators

12 papers

physics.app-ph20201 cited

Reconfigurable photonic RF filters based on integrated Kerr frequency comb sources

Xingyuan Xu, Mengxi Tan, Jiayang Wu +6

We demonstrate two categories of photonic radio frequency (RF) filters based on integrated optical micro-combs. The first one is based on the transversal filtering structure and th…

physics.app-ph20201 cited

Reconfigurable fractional microwave signal processor based on a microcomb

Mengxi Tan, Xingyuan Xu, Jiayang Wu +6

We propose and demonstrate reconfigurable fractional microwave signal processing based on an integrated Kerr optical microcomb. We achieve two forms of microwave signal processing…

physics.app-ph2020

Arbitrary waveform generator for microwave and radio frequencies based on photonics with an integrated 49GHz Kerr micro-comb

Mengxi Tan, Xingyuan Xu, Andreas Boes +8

We report a photonic-based radio frequency (RF) arbitrary waveform generator (AWG) using a soliton crystal micro-comb source with a free spectral range (FSR) of 48.9 GHz. The comb…

physics.app-ph2020379 cited

Photonic RF channelizer based on a 90 wavelength optical soliton crystal 49GHz Kerr microcomb

Xingyuan Xu, Mengxi Tan, Jiayang Wu +7

We report a broadband radio frequency (RF) channelizer with up to 92 channels using a coherent microcomb source. A soliton crystal microcomb, generated by a 49 GHz micro-ring reson…

physics.app-ph2020332 cited

Photonic radio frequency and microwave integration based on a multi-wavelength 49GHz Kerr microcomb source

Xingyuan Xu, Mengxi Tan, Jiayang Wu +8

We demonstrate a photonic RF integrator based on an integrated soliton crystal microcomb source. By multicasting and progressively delaying the input RF signal using a transversal…

physics.optics20201 cited

Single photonic perceptron based on a soliton crystal Kerr microcomb for high-speed, scalable, optical neural networks

Xingyuan Xu, Mengxi Tan, Bill Corcoran +9

Optical artificial neural networks (ONNs), analog computing hardware tailored for machine learning, have significant potential for ultra-high computing speed and energy efficiency.…