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Generation of structure light in probe absorption spectrum via microwave-driven Y-type atomic system

Chinese Physics B 2023年第12期32卷 367-371页

作者： Muhammad Saeed Muqaddar Abbas Center for Integrated Quantum Information Technologies(IOIT) School of Physics and Astronomyand State Key Laboratory of Advanced Optical Communication Systems and NetworksShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter(Ministry of Education) Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic DevicesSchool of PhysicsXi'an Jiaotong UniversityXi'an 710049China

Behavior of structure light is investigated by monitoring probe absorption using a microwave-driven Y-type atomic media *** system under consideration is driven by one of the control vortex beams as well as an extra non-vortex control beam to ensure electromagnetically induced *** significant aspect in the generation of structured light is the azimuthal phase-dependent modification for probe *** intensity distribution for absorption spectra is examined for simultaneously evaluating both the control vortex *** also go through the radial distribution of intensity for various orbital angular momentum *** modes of structural beams may be distinguished using the suggested *** research gives us a way for rapidly transferring vortex wavefronts from control field to probe absorption *** could be useful in quantum information processing.

关键词： structure light vortex beam

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Secret key rate of continuous-variable quantum key distribution with finite codeword length

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Science China(Information Sciences) 2023年第8期66卷 150-151页

作者： Yan FENG Runhe QIU Kun ZHANG Xue-Qin JIANG Meixiang ZHANG Peng HUANG Guihua ZENG School of Information Science and Technology Donghua University School of Electronics and Information Soochow University School of Information Engineering Yangzhou University State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing (QSIP) Shanghai Jiao Tong University

In recent years, continuous-variable quantum key distribution(CV-QKD) has been proposed as a promising alternative to the most commonly implemented discrete-variable QKD [1]. A typical CV-QKD system includes mainly tw...

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Research on Modulation Recognition Method in Low SNR Based on LSTM

Research on Modulation Recognition Method in Low SNR Based o...

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2021 International Conference on communication Technology and Information Technology, ICCTIT 2021

作者： Zhang, Beiming Chen, Guoping Jiang, Chun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

Modulation mode recognition of radio signal is a committed step between signal detection and signal demodulation. At present, quite a lot studies have fully proved that deep learning algorithms can effectively identify the modulation pattern of radio signals. However, the sudden decline of recognition accuracy under the condition of low signal-to-noise ratio needs to be continuously studied and solved. Inspired by the excellent performance of recurrent neural network in signal recognition, this article optimizes and improves the existing system methods, realizes the noise reduction processing of low signal-to-noise ratio signals, and further solves the problem of low recognition accuracy. Through a large number of experimental tests using RML public dataset, the effectiveness of this paper is verified. The results show that the accuracy of modulation pattern recognition of low signal-to-noise ratio signals reaches an average of 27.2%. At last, the paper analyzes the existing problems and optimization points, and looks forward to the further research of relevant contents in the future. © Published under licence by IOP Publishing Ltd.

关键词： Pattern recognition

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Tunable Broadband Comb Source Using Compact FP-SA Laser for High-Precision Quasi-Distributed FBG Sensing

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IEEE Sensors Journal 2025年第11期25卷 19110-19116页

作者： Liu, Yuan Dai, Pan Xu, Kaichuan Wang, Jiacheng Wang, Yu Tang, Kaifei Dong, Junwei Sun, Zhenxing Wang, Feng Chen, Xiangfei Nanjing University Key Laboratory of Intelligent Optical Sensing and Manipulation of the Ministry of Education Engineering Research Center of Precision Photonics Integration and System Application of the Ministry of Education College of Engineering and Applied Sciences Institute of Optical Communication Engineering Nanjing University-Tongding Joint Lab for large-scale photonic integrated circuits National Laboratory of Solid State Microstructures Jiangsu Nanjing210093 China

We develop a novel broadband comb light source for sensing multiple fiber Bragg gratings (FBGs). This broadband light source is realized through a Fabry-Pérot laser with intracavity saturable absorbers (FP-SA), which is a new type of low-cost and highly integrated semiconductor laser solution. The laser chip measures 1500 μm in length and 300 μm in width. Based on a waveform shaper and the FP-SA laser, we successfully generated the output of a broadband comb light source. By adjusting the filter bandwidth, laser gain voltage, and reverse voltage, we were able to tune the output bandwidth of the light source across a wide range from 2.5 nm to 25 nm. We propose a fitting method that leverages peak value extraction, tailored to the unique output characteristics of this source. Experimental results demonstrate that, when utilizing the FP-SA laser with a comb wavelength spacing of 0.23 nm, the demodulation repeatability achieves ±3.5 pm, and the demodulation linearity exceeds 0.9996. To the best of our knowledge, this work presents a new high-performance integrated broadband light source option for quasi-distributed FBGs array sensing systems. © 2001-2012 IEEE.

关键词： Demodulation

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Quasi-distributed fiber-optic acoustic sensing system based on low coherence optical frequency domain reflectometry 27

Quasi-distributed fiber-optic acoustic sensing system based ...

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27th International Conference on optical Fiber Sensors, OFS 2022

作者： Deng, Yuanpeng Liu, Qinwen Zhao, Shuangxiang He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

We demonstrate a quasi-distributed acoustic sensing system with low coherence optical frequency domain reflectometry and weak reflectors array. With broadband light source and simple structure, strain resolution of 0.... 详细信息

ISBN: (纸本)9781957171142

关键词： Natural frequencies

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Platform for designing bipartite entangled quantum frequency combs based on silicon nitride microring resonators

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Physical Review Applied 2024年第5期21卷 054058-054058页

作者： Nianqin Li Bo Ji Yang Shen Guangqiang He State Key Laboratory Of Advanced Optical Communication Systems And Networks Department Of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China

Integrated Kerr quantum frequency combs (QFCs), with the potential to generate multiple and scalable quantum states, have emerged as a compact, stable, and fundamental resource for broadband entanglement. Here, we build a platform for designing bipartite entangled QFCs via an on-chip silicon nitride microring resonator. By establishing the system quantum dynamics of Kerr nonlinear microresonators, our platform can support up to 12 continuous-variable quantum modes, in the form of six simultaneously two-mode squeezed pairs under the influence of hysteresis. The entanglement degree of frequency-mode pairs is dependent on the resonator structure and ambient temperature. By adjusting the cavity temperature, we can optimize the performance of entanglement under certain injected pump power and pump detuning. Our comprehensive QFC designing process and entanglement distribution control may ameliorate the generation and optimization of entanglement.

关键词： Frequency combs & self-phase locking Photonics Quantum communication, protocols & technology Nitrides optical microcavities Semiconductor compounds Cavity resonators Kerr effect

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Constellation Independent Look-up Table Enabled Digital Predistortion for Digital-Analog Radio-over-Fiber system

Constellation Independent Look-up Table Enabled Digital Pred...

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2023 optical Fiber communications Conference and Exhibition, OFC 2023

作者： Zeng, Xiaobo Zhu, Yixiao Xu, Yicheng Fu, Mengfan Jiang, Hexun Yi, Lilin Hu, Weisheng Zhuge, Qunbi Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai200240 China Peng Cheng Laboratory Shenzhen518000 China

A constellation independent look-up table (LUT) method for transceiver nonlinearity predistortion in digital-analog radio-over-fiber system is proposed and experimentally demonstrated, achieving a SNR gain of 1.04dB. ... 详细信息

ISBN: (纸本)9781957171180

关键词： Table lookup

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Improving Aircraft Engine Remaining Useful Life Prediction Scheme Based on Handcrafted Features and Neural Network Integration 5

Improving Aircraft Engine Remaining Useful Life Prediction S...

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5th International Conference on Machine Learning and Computer Application, ICMLCA 2024

作者： Bi, Dequan Bi, Meihua Qian, Lien Teng, Xuyang Hu, Miao School of Communication Engineering Hangzhou Dianzi University Zhe Jiang province Hangzhou310018 China Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication System and Networks Department of Electronic Engineering Shanghai200240 China China Elect Technol Grp Corp Hangzhou China

ISBN: (纸本)9798331530334

The prediction of Remaining Useful Life (RUL) serves as a key indicator in the prognostics and health management of industrial equipment, holding significant implications for enhancing the availability of industrial equipment and reducing lifecycle costs. The common scheme based on the neural network especially for the Long Short-Term Memory (LSTM) networks can achieve satisfactory results in RUL prediction, while they are incapable of actively selecting key features and efficiently extracting degradation information embedded in the data. In this paper, we propose a new hybrid model based on LSTM networks. Here, the Convolutional Neural networks (CNN) is employed to extract key features, then a Bidirectional Long Short-Term Memory (BiLSTM) is utilized to capture long and short-term dependencies within the features. Besides, the attention mechanism is introduced to be applied to assign different weights to select important parts. In this way, by integrating the achieved statistical features, the accuracy of aircraft engine RUL prediction can be effectively enhanced. And, by experiment, our method is verified by carrying out on the C-MAPSS dataset. The corresponding results reveal that our approach is superior to the other reported neural network-based scheme, and it can be considered as one of the most promising schemes using for the RUL prediction of aircraft engine. © 2024 IEEE.

关键词： Convolutional neural networks

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1-Pb/s CPRI-Equivalent Rate Coherent DA-RoF Fronthaul with 1024-QAM Scalable in Capacity, Reach, and Linewidth Using Residual Carrier-Based Phase Tracking

1-Pb/s CPRI-Equivalent Rate Coherent DA-RoF Fronthaul with 1...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yixiao Zhu Xiansong Fang Chenbo Zhang Jingjing Lin Yicheng Xu Weiwei Hu Zhangyuan Chen Qunbi Zhuge Fan Zhang Xiaopeng Xie Weisheng Hu State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai China State Key Laboratory o_f Advanced Optical Communication System and Networks Peking University Beijing China

We demonstrate 1.0-Pb/s CPRI-equivalent rate fronthaul with 1024-QAM by using digital-analog radio-over-fiber and coherent detection based on modulator bias-induced residual carrier for phase tracking. The reach is extended to 20-km SSMF with 4096-QAM and 80-km with 256-QAM, and laser linewidth can be relaxed to 3MHz.

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Near-Far Field Codebook Design for IOS-Aided Multi-User communications

arXiv

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arXiv 2024年

作者： Zhang, Shupei Zhang, Yutong Di, Boya State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China

Recently, the rapid development of metasurface facilitates the growth of extremely large-scale antenna arrays, making the ultra-massive MIMO possible. In this paper, we study the codebook design and beam training for an intelligent omni-surface (IOS) aided multi-user system, where the IOS is a novel metasurface enabling simultaneous signal reflection and refraction. To deal with the near field expansion caused by the large-dimension of IOS, we design a near-far field codebook to serve users both in the near and far fields without prior knowledge of user distribution. Moreover, to fully exploit the dual functionality of the IOS, the coupling between the reflective and refractive signals is analyzed theoretically and utilized in the codebook design, thereby reducing the training overhead. On this basis, the multi-user beam training is adopted where each codeword covers multiple areas to enable all users to be trained simultaneously. Simulation results verify our theoretical analysis on the reflective-refractive coupling. Compared to the state-of-the-art schemes, the proposed scheme can improve the sum rate and throughput. Copyright © 2024, The Authors. All rights reserved.

关键词： Antenna arrays

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