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2023 Opto-Electronics and communications Conference, OECC 2023

作者： Zhao, Yisong Yang, Changsheng Dang, Daohang Guo, Yuanzhi Shen, Shikui Wen, Ran Chen, Bin Guo, Bingli Yang, Chuanchuan Hua, Nan Xue, Xuwei Huang, Shanguo Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing China China Unicom Research Institute Beijing China Hefei University of Technology School of Computer Science and Information Engineering Hefei China Peking University The State Key Laboratory of Advanced Optical Communication Systems and Networks Beijing China Beijing China

The scheme combining clock distribution and protection sequence insertion from the network perspective is proposed and experimentally investigated to implement a 3.1 nanoseconds clock and data recovery in optical swit... 详细信息

ISBN: (纸本)9781665462136

关键词： optical switches

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High-Speed 2 μm Silicon Photonic Mach-Zehnder Modulator with 30 GHz Bandwidth

High-Speed 2 μm Silicon Photonic Mach-Zehnder Modulator wit...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and optical communications, IPOC 2024

作者： Wang, Jianing Zhang, Xuelin Wang, Xi Yang, Yanfu Du, Jiangbing Xu, Ke Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Department of Integrated Circuits Harbin Institute of Technology Shenzhen China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China Department of Integrated Circuits Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9798350379266

关键词： Silicon photonics

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Free-induction-decay 4He magnetometer using a multipass cell

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Physical Review Applied 2024年第1期22卷 014084-014084页

作者： Kaiwen Yi Yang Liu Bowen Wang Wei Xiao Dong Sheng Xiang Peng Hong Guo State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics and Center for Quantum Information Technology Department of Precision Machinery and Precision Instrumentation Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes

optically pumped magnetometers (OPMs) based on the free-induction-decay (FID) configuration have recently attracted interest owing to their advantages, such as being calibration-free, easy to operate, and showing reduced light shifts induced by the pump light. Currently, alkali-metal vapor cells have been employed in most of the FID magnetometers. However, the relatively narrow linewidth of the magnetic resonance signal and nonlinear Zeeman (NLZ) effects generate bandwidth limitation and heading errors of these magnetometers in the Earth’s field, respectively. In this work, we propose a 4He-based FID magnetometer, which not only has the advantages of being NLZ-free and showing a high bandwidth, but also maintains an enhanced sensitivity assisted by a multipass cell. This magnetometer demonstrates a magnetic field noise floor of 0.34pT/Hz1/2 with a Nyquist-limited bandwidth of 5 kHz, which opens another route for atomic magnetometry using FID signals, and exhibits potential for applications in high-frequency magnetic field detection, such as biomagnetic measurements and magnetic communications in the geomagnetic field.

关键词： Atomic & molecular processes in external fields Magnetometry optical pumping Polarization of light Spin polarization Atomic ensemble Medical imaging optically detected magnetic resonance

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Photon-Limited Image Recovery with Fourier Convolution Network

Photon-Limited Image Recovery with Fourier Convolution Netwo...

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CLEO: Science and Innovations, S and I 2022

作者： Qin, Wentao Shi, Jianhong Wu, Xiaoyan Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China

We propose and validate a deep learning based algorithm for recovering images from their photon-limited samples. The method can be applied to complicated images and is able to retain most of the details. © Optica... 详细信息

ISBN: (纸本)9781557528209

关键词： Photons

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50-km Weakly-coupled Transmission with L-band 4-LP-mode FM-EDFA

50-km Weakly-coupled Transmission with L-band 4-LP-mode FM-E...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and optical communications, IPOC 2024

作者： Huang, Shuailuo Zhu, Baolong Qiao, Gang Gao, Yuyang Zuo, Mingqing Shen, Shikui Wang, Zelin He, Yongqi Chen, Zhangyuan Li, Juhao Chen, Zhangyuan Li, Juhao China Unicom Research Institute Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Department of Fundamental Network Technology China Mobile Research Institute Beijing China Pengcheng National Laboratory Shenzhen China

ISBN: (纸本)9798350379266

关键词： Pulse amplitude modulation

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optical coherent dot-product chip for sophisticated deep learning regression

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Light(Science & Applications) 2021年第12期10卷 2330-2341页

作者： Shaofu Xu Jing Wang Haowen Shu Zhike Zhang Sicheng Yi Bowen Bai Xingjun Wang Jianguo Liu Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China State Key Laboratory of Advanced Optical Communications System and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Institution of Semiconductors Chinese Academy of SciencesBeijing 100083China

optical implementations of neural networks(ONNs)herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of ***,due to the problems of the incomplete numerical domain,limited hardware scale,or inadequate numerical accuracy,the majority of existing ONNs were studied for basic classification *** that regression is a fundamental form of deep learning and accounts for a large part of current artificial intelligence applications,it is necessary to master deep learning regression for further development and deployment of ***,we demonstrate a silicon-based optical coherent dot-product chip(OCDC)capable of completing deep learning regression *** OCDC adopts optical fields to carry out operations in the complete real-value domain instead of in only the positive *** reusing,a single chip conducts matrix multiplications and convolutions in neural networks of any ***,hardware deviations are compensated via in-situ backpropagation control provided the simplicity of chip ***,the OCDC meets the requirements for sophisticated regression tasks and we successfully demonstrate a representative neural network,the AUTOMAP(a cutting-edge neural network model for image reconstruction).The quality of reconstructed images by the OCDC and a 32-bit digital computer is *** the best of our knowledge,there is no precedent of performing such state-of-the-art regression tasks on ONN *** is anticipated that the OCDC can promote the novel accomplishment of ONNs in modern AI applications including autonomous driving,natural language processing,and scientific study.

关键词： neural hardware coherent

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Low loss polymeric spot-size converter with two-step index transition cladding for fiber-to-chip connection 27

Low loss polymeric spot-size converter with two-step index t...

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27th OptoElectronics and communications Conference/International Conference on Photonics in Switching and Computing, OECC/PSC 2022

作者： Ma, Qiang Ma, Lin Zhuang, Yudi Li, Heyuan He, Zuyuan Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai200240 China Zhejiang Lab Hangzhou311121 China

We propose a low loss polymeric spot-size converter with two-step index transition cladding for fiber-to-chip connection. The device can simultaneously achieve a coupling loss of 1.84 dB and strictly single-mode opera... 详细信息

ISBN: (数字)9784885523366

ISBN: (纸本)9784885523366

关键词： Optoelectronic devices

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Research on Terahertz Synthetic Aperture Radar Imaging

Research on Terahertz Synthetic Aperture Radar Imaging

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSRWTC)

作者： Yi-Bing Xiao Yue-Yi Zhang Feng-Yuan Han Chao-Hai DU Center for Carbon-based Electronics State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University

ISBN: (数字)9798331507794

ISBN: (纸本)9798331507800

Synthetic aperture radar (SAR) technology is an advanced radar imaging method with extensive applications across various fields. Although terahertz SAR technology is still in its early stages, it shows great potential for future developments due to the properties of broad-spectrum and high-resolution. Thus, it is crucial to advance research in this field on terahertz SAR. This paper studies terahertz SAR imaging based on the frequency scaling (FS) algorithm and the detailed process and simulation results of the algorithm are provided. According to the FS algorithm, the simulation of multi-target SAR imaging at 220 GHz is conducted, and the peak side-lobe ratios of range and azimuth directions are approximately -17.5 dB and - 22.8 dB, respectively. Furthermore, the resolution of the algorithm and the simulation remains consistent. These results indicate the excellent performance of target detection and imaging and may lay a solid foundation for developing terahertz SAR imaging.

关键词： Wireless communication Terahertz wave imaging Image resolution Simulation Object detection Radar imaging Approximation algorithms Solids Radar polarimetry Synthetic aperture radar

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Field Distribution Analysis of Vortex Surface Plasmons

Field Distribution Analysis of Vortex Surface Plasmons

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UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT)

作者： Yu-Lu Lei Zi-Wen Zhang Tao-Ji Yang Chao-Hai Du Center for Carbon-Based Electronics State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University

ISBN: (数字)9798331530228

ISBN: (纸本)9798331530235

The generation of coherent and high-purity vortex beams with diverse orbital angular momentum (OAM) is achievable via Vortex Smith-Purcell radiation (SPR) mediated by vortex surface plasmons supported by helical gratings. Nevertheless, the field distribution of vortex surface plasmons remains underexplored. This study presents a comprehensive analytical investigation into the field distribution of vortex surface plasmons. By analyzing the field distribution corresponding to various topological charges, we aim to elucidate their intrinsic relationship, enhancing the practical deployment of vortex surface plasmons. This theoretical framework will facilitate the precise excitation of surface plasmons with designated topological charges and their subsequent diffraction into coherent vortex free-electron radiation, thereby advancing high-capacity communication, quantum information processing, and other cutting-edge applications.

关键词： Orbital calculations Diffraction Quantum mechanics Terahertz materials Information processing Gratings Surface plasmons Electrons

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Doubly-Dynamic ISAC Precoding for Vehicular networks: A Constrained Deep Reinforcement Learning (CDRL) Approach

arXiv

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arXiv 2024年

作者： Yang, Zonghui Gao, Shijian Cheng, Xiang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China Guangzhou China

Integrated sensing and communication (ISAC) technology is essential for supporting vehicular networks. However, the communication channel in this scenario exhibits time variations, and the potential targets may move rapidly, resulting in double dynamics. This nature poses a challenge for real-time precoder design. While optimization-based solutions are widely researched, they are complex and heavily rely on perfect channel-related information, which is impractical in double dynamics. To address this challenge, we propose using constrained deep reinforcement learning to facilitate dynamic updates to the ISAC precoder. Additionally, the primal dual-deep deterministic policy gradient and Wolpertinger architecture are tailored to efficiently train the algorithm under complex constraints and varying numbers of users. The proposed scheme not only adapts to the dynamics based on observations but also leverages environmental information to enhance performance and reduce complexity. Its superiority over existing candidates has been validated through experiments. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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