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Conference on Lasers and Electro-Optics (CLEO)

作者： Siyu E Xinhang Li Yuyao Guo Yihao Fan Minhui Jin Yu Li Anton Stroganov Liangjun Lu Jianping Chen Linjie Zhou Department of Electronic Engineering State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China LIGENTEC SA EPFL Innovation Park Ecublens Switzerland

We present a III-V/Si 3 N 4 widely tunable hybrid laser with an intrinsic linewidth of 50 Hz by using a resonance feedback from a high-Q ring resonator. The linewidth is reduced by approximately 24 fold. © 2024 ... 详细信息

ISBN: (纸本)9798350369311

关键词： Laser feedback Ring lasers Lasers and electrooptics Resonance optical ring resonators Electro-optical waveguides

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Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling method

arXiv

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arXiv 2022年

作者： Yang, Hang Zhao, Haochen Niu, Zekun Pu, Guoqing Xiao, Shilin Hu, Weisheng Yi, Lilin State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China

The modeling and prediction of the ultrafast nonlinear dynamics in the optical fiber are essential for the studies of laser design, experimental optimization, and other fundamental applications. The traditional propagation modeling method based on the nonlinear Schrödinger equation (NLSE) has long been regarded as extremely time-consuming, especially for designing and optimizing experiments. The recurrent neural network (RNN) has been implemented as an accurate intensity prediction tool with reduced complexity and good generalization capability. However, the complexity of long grid input points and the flexibility of neural network structure should be further optimized for broader applications. Here, we propose a convolutional feature separation modeling method to predict full-field ultrafast nonlinear dynamics with low complexity and high flexibility, where the linear effects are firstly modeled by NLSE-derived methods, then a convolutional deep learning method is implemented for nonlinearity modeling. With this method, the temporal relevance of nonlinear effects is substantially shortened, and the parameters and scale of neural networks can be greatly reduced. The running time achieves a 94% reduction versus NLSE and an 87% reduction versus RNN without accuracy deterioration. In addition, the input pulse conditions, including grid point numbers, durations, peak powers, and propagation distance, can be flexibly changed during the predicting process. The results represent a remarkable improvement in the ultrafast nonlinear dynamics prediction and this work also provides novel perspectives of the feature separation modeling method for quickly and flexibly studying the nonlinear characteristics in other fields. Copyright © 2022, The Authors. All rights reserved.

关键词： Convolution

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Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme

arXiv

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arXiv 2022年

作者： Yang, Hang Niu, Zekun Zhao, Haochen Xiao, Shilin Hu, Weisheng Yi, Lilin State Key Lab of Advanced Optical Communication Systems and Networks School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China

The modeling of optical wave propagation in optical fiber is a task of fast and accurate solving the nonlinear Schrödinger equation (NLSE), and can enable the optical system design, digital signal processing verification and fast waveform calculation. Traditional waveform modeling of full-time and full-frequency information is the split-step Fourier method (SSFM), which has long been regarded as challenging in long-haul wavelength division multiplexing (WDM) optical fiber communication systems because it is extremely time-consuming. Here we propose a linear-nonlinear feature decoupling distributed (FDD) waveform modeling scheme to model long-haul WDM fiber channel, where the channel linear effects are modelled by the NLSE-derived model-driven methods and the nonlinear effects are modelled by the data-driven deep learning methods. Meanwhile, the proposed scheme only focuses on one-span fiber distance fitting, and then recursively transmits the model to achieve the required transmission distance. The proposed modeling scheme is demonstrated to have high accuracy, high computing speeds, and robust generalization abilities for different optical launch powers, modulation formats, channel numbers and transmission distances. The total running time of FDD waveform modeling scheme for 41-channel 1040-km fiber transmission is only 3 minutes versus more than 2 hours using SSFM for each input condition, which achieves a 98% reduction in computing time. Considering the multi-round optimization by adjusting system parameters, the complexity reduction is significant. The results represent a remarkable improvement in nonlinear fiber modeling and open up novel perspectives for solution of NLSE-like partial differential equations and optical fiber physics problems. Copyright © 2022, The Authors. All rights reserved.

关键词： optical fibers

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Wavelength-Selective 2 × 2 optical Switch Based on a Ge2Sb2 Te5-Assisted Microring for the 2-μm Wavelength Band

Wavelength-Selective 2 × 2 Optical Switch Based on a Ge2Sb2...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Weixun Zhu Xing Yang Huan Li Liangjun Lu Linjie Zhou Daoxin Dai State Key Laboratory for Modern Optical Instrumentation Center for Optical & Electromagnetic Research College of Optical Science and Engineering International Research Center for Zhejiang University Zijingang Campus Hangzhou China Department of Electronic Engineering State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Jiao Tong University Shanghai China Ningbo Research Institute Zhejiang University Ningbo China

We propose and demonstrate a wavelength-selective 2 ×2 silicon photonic switch using a Ge2Sb2Tes-assisted microring-resonator for the 2-μm wavelength-band, showing an extinction ratio of ~20 dB and a low excess ...

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Passively mode-locked fiber laser based on ethylene glycol

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Results in Physics 2024年 60卷

作者： Zhang, Wenyan Jiang, Huijie Zheng, Lei Liu, NanNan Zhang, Xiaodong Yang, Kun Zhan, Li Henan Key Lab of Magnetoelectronic Information Functional Materials School of Electronics and Information Zhengzhou University of Light Industry Zhengzhou 450002 China State Key Lab of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China

A passively mode-locked Er-doped fiber laser employing ethylene glycol as a saturable absorber (SA) has been proposed and experimentally validated. The ethylene glycol-SA is fabricated by filling the space between the end facets of two optical patch cords inserted into a cannula with ethylene glycol. Utilizing such an SA with a modulation depth of 9.6 %, stable mode-locking operation are manifested in the laser cavity, including the production of bright pulse and bright-dark pulse pair. The generated bright pulse has a center wavelength at 1562.28 nm, a 3 dB bandwidth of 0.21 nm, a repetition frequency of 20.24 MHz, and a signal-to-noise ratio (SNR) of 57 dB. Through precisely manipulating the polarization state and the pump power in the laser cavity, the bright-dark pulse pairs can be successfully attained at the same repetition frequency. This is the first demonstration of a passively mode-locked fiber laser utilizing ethylene glycol as the saturable absorber. Due to their superior optical absorption characteristics, low cost, simplicity in fabrication and non-volatile nature, ethylene glycol-SAs have enormous potential in the field of nonlinear optics and ultrafast photonics. © 2024 The Authors

关键词： Ethylene glycol Fiber lasers optical solitons Pulse laser

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Silicon-integrated high-speed mode and polarization switch-andselector

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Journal of Semiconductors 2022年第2期43卷 54-58页

作者： Yihang Dong Yong Zhang Jian Shen Zihan Xu Xihua Zou Yikai Su State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Center for Information Photonics and Communications School of Information Science and TechnologySouthwest Jiao Tong UniversityChengdu 611756China

On-chip optical communications are growingly aiming at multimode operation together with mode-division multiplex-ing to further increase the transmission *** switches,which are capable of optical signals switching at the nodes,play a key role in optical *** demonstrate a 2×2 electro-optic Mach-Zehnder interferometer-based mode-and polar-ization-selective switch fabricated by standard complementary metal-oxide-semiconductor *** electro optic tuner based on a PN-doped junction in one of the Mach-Zehnder interferometer arms enables dynamic switching in 11 *** all the channels,the overall insertion losses and inter-modal crosstalk values are below 9.03 and-15.86 dB at 1550 nm,respect-ively.

关键词： mode and polarization switch-and-selector silicon photonics high speed

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Wavelength-Division-Multiplexed Transmission and Dispersion Compensation Enabled by Soliton Microcombs and Cascaded Microrings

Wavelength-Division-Multiplexed Transmission and Dispersion ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yuanbin Liu Hongyi Zhang Jiacheng Liu Liangjun Lu Jiangbing Du Yu Li Zuyuan He Jianping Chen Linjie Zhou Andrew W. Poon Department of Electronic Engineering State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China Department of Electronic and Computer Engineering Photonic Device Laboratory The Hong Kong University of Science and Technology Clear Water Bay Hong Kong

We demonstrate wavelength-division-multiplexed data transmission and dispersion compensation of 25 Gb/s $\times 9$ on-off-keying signals over a 20-km singlemode fiber using an integrated single-soliton microcomb and... 详细信息

ISBN: (纸本)9798350369311

关键词： Solitons Lasers and electrooptics Wavelength division multiplexing Data communication Quantum cascade lasers Electro-optical waveguides optical fiber dispersion Fiber lasers

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An iterative algorithm for artifacts removal in Fourier-domain optical coherence tomography 25

An iterative algorithm for artifacts removal in Fourier-doma...

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optical Coherence Tomography and Coherence Domain optical Methods in Biomedicine XXV 2021

作者： Wang, Mengyuan Ling, Yuye Shao, Shuo Su, Yikai John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai China Department of Electronic Engineering State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781510640962

ISBN: (纸本)9781510640955

FD-OCT is a widely used technology which could provide high-resolution 3D reconstruction images. Conventional OCT uses IDFT reconstruction method, which could obtain an FFT-limited axial resolution. Recently, several optimization-based methods have reportedly achieved a resolution improvement, while undesired noise artifacts might appear in their result, which could degrade the image quality. In this work, we proposed an iterative error reduction method in order to remove the artifacts as well as improve the resolution. A numerical simulation is designed to validate our algorithm. Two reconstruction methods including IDFT reconstruction, and l1 minimization are selected for a comparative study. Specifically, we conduct the simulation at four different noise levels. The result shows that our proposed method could greatly suppress the artifact and obtain a great reconstruction even when the SNR is reduced. © 2021 SPIE.

关键词： Image reconstruction

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Neural network-based equalization in high-speed PONs

Neural network-based equalization in high-speed PONs

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optical Fiber communication Conference, OFC 2020

作者： Yi, Lilin Liao, Tao Xue, Lei Hu, Weisheng State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

ISBN: (数字)9781943580712

ISBN: (纸本)9781943580712

We introduce neural network (NN)-based equalization in high-speed passive optical networks. Data feature engineering is proposed to improve performance of NN-based equalization. Besides, an unsupervised learning scheme for NN-based equalizer is proposed to train the model without known symbols of received signal. OFC 2020 © OSA 2020 © 2020 The Author(s)

关键词： Equalizers

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Fully Integrated Solid-state LiDAR Transmitter on a Multi-Layer Silicon-Nitride-on-Silicon Photonic Platform

Fully Integrated Solid-State LiDAR Transmitter on a Multi-La...

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optical Fiber communication (OFC) Conference

作者： Weihan Xu Yuyao Guo Xinhang Li Chuxin Liu Liangjun Lu Jianping Chen Linjie Zhou State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu China

We demonstrated a LiDAR transmitter incorporating both a hybrid-integrated tunable external cavity laser and a high-resolution 2-D optical phased array beam-steerer on a tri-layer silicon-nitride-on-silicon photonic p... 详细信息

ISBN: (纸本)9781557524669

关键词： optical fibers Integrated optics Laser radar Solid lasers Adaptive optics System-on-chip optical transmitters

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