activity
20172026
most cited11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

1.5k citations · 11k across the 58 of their papers we have counts for

collaborators

58 papers

physics.optics2026

Reconfigurable microwave photonic Fano filters based on optical Kerr microcombs

Qi Zou, Jiayang Wu, Yang Sun +9

Microwave photonic (MWP) Fano filters, featuring asymmetric filter shapes that enable steep spectral transitions, are attractive for high bandwidth microwave signal processing such…

physics.optics2026★ 3 cited

Ultra-high performance microwave spectral filters using optical microcombs

David J. Moss

Microwave photonic (MWP) filters are essential components in microwave systems due to their wide bandwidth, low loss, and immunity to electromagnetic interference. A sharp transiti…

cs.ET2025★ 18 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

physics.optics2024★ 7 cited

Photonic real-time signal processing

Qihang Ai, Hanxiao Feng, Xinyu Yang +5

The simultaneous progress of integrated optical frequency comb (OFC) and radio frequency (RF) photonic signal processing technique have promoted the rapid development of real-time…

physics.optics2024

Turnkey deterministic soliton crystal generation

Xinyu Yang, Xiaotian Zhu, Caitlin Murray +9

The deterministic generation of robust soliton comb has significant meaning for the optical frequency combs to be widely used in various applications. As a novel form of microcomb,…

physics.optics2024★ 46 cited

Designing and analyzing microwave photonic spectral domain filters based on transversal filtering with optical microcombs

David J. Moss

Microwave transversal filters, which are implemented based on the transversal filter structure in digital signal processing, offer a high reconfigurability for achieving a variety…

physics.optics2024★ 33 cited

Dual-polarization RF Channelizer Based on Kerr Soliton Microcomb Sources

Xingyuan Xu, David J. Moss

We report a dual-polarization radio frequency (RF) channelizer based on microcombs. With the tailored mismatch between the FSRs of the active and passive MRRs, wideband RF spectra…

physics.optics2024★ 18 cited

Microwave photonic transversal filters based on microcombs with feedback control

David J. Moss

Feedback control plays a crucial role in improving system accuracy and stability for a variety of scientific and engineering applications. Here, we theoretically and experimentally…

physics.optics2024★ 18 cited

The performance of microwave photonic signal processors based on microcombs with different input signal waveforms

David J. Moss

Microwave photonic (MWP) signal processors, which process microwave signals based on pho-tonic technologies, bring advantages intrinsic to photonics such as low loss, large process…

physics.optics2024★ 3 cited

Photonic RF Channelization Based on Microcombs

Weiwei Han, Zhihui Liu, Mengxi Tan +5

In recent decades, microwave photonic channelization techniques have developed significantly. Characterized by low loss, high versatility, large instantaneous bandwidth, and immuni…

physics.optics2024★ 57 cited

Photonic real time video image signal processor at 17Tb/s based on a Kerr microcomb

Mengxi Tan, Xingyuan Xu, Andreas Boes +8

Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing. Image p…

eess.SP2023★ 50 cited

Maximizing the performance for microcomb based microwave photonic transversal signal processors

Yang Sun, Jiayang Wu, Yang Li +8

Microwave photonic (MWP) transversal signal processors offer a compelling solution for realizing versatile high-speed information processing by combining the advantages of reconfig…

physics.optics2023★ 106 cited

Theory for the Accuracy of Microcomb Photonic Microwave Transversal Signal Processors

David J. Moss

Photonic RF transversal signal processors, which are equivalent to reconfigurable electrical digital signal processors but implemented with photonic technologies, have been widely…

physics.optics2023★ 297 cited

Applications of integrated optical microcombs

Yang Sun, Jiayang Wu, Mengxi Tan +5

Optical microcombs represent a new paradigm for generating laser frequency combs based on compact chip-scale devices, which have underpinned many modern technological advances for…

physics.plasm-ph2022★ 9 cited

Simulation of neutral beam current drive on EAST tokamak

Youjun Hu, Xingyuan Xu, Yunchan Hu +2

Neutral beam current drive (NBCD) on the EAST tokamak is studied by using Monte-Carlo test particle code TGCO. Phase-space structure of the steady-state fast ion distribution is ex…

physics.optics2022

Spectral engineering of integrated photonic filters using mode splitting in silicon nanowire integrated standing-wave resonators

David J. Moss

Mode splitting induced by coherent optical mode interference in coupled resonant cavities is a key phenomenon in photonic resonators that can lead to powerful and versatile filteri…

physics.optics2022★ 194 cited

Neuromorphic computing using wavelength-division multiplexing

Xingyuan Xu, Weiwei Han, Mengxi Tan +7

Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the potential to dramatically enhance the computing power and energy efficiency of mainstream el…

physics.optics2022★ 18 cited

Phase retrieval of programmable photonic integrated circuits based on an on-chip fractional-delay reference path

Xingyuan Xu, Guanghui Ren, Aditya Dubey +5

Programmable photonic integrated circuits (PICs), offering diverse signal processing functions within a single chip, are promising solutions for applications ranging from optical c…

eess.SP2021

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,…

physics.app-ph2021★ 215 cited

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…

physics.app-ph2021★ 164 cited

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…

physics.app-ph2021★ 247 cited

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…

physics.app-ph2021★ 64 cited

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…

eess.SP2021★ 4 cited

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…