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Carrier recombination suppression and transport enhancement enable high-performance self-powered broadband Sb_(2)Se_(3) photodetectors

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InfoMat 2023年第4期5卷 60-76页

作者： Shuo Chen Yi Fu Muhammad Ishaq Chuanhao Li Donglou Ren Zhenghua Su Xvsheng Qiao Ping Fan Guangxing Liang Jiang Tang Shenzhen Key Laboratory of Advanced Thin Films and Applications Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhenGuangdongthe People's Republic of China MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and Materials Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsGuangxi UniversityNanningGuangxithe People's Republic of China State Key Laboratory of Silicon Materials&School of Materials Science and Engineering Zhejiang UniversityHangzhouZhejiangthe People's Republic of China Wuhan National Laboratory for Optoelectronics(WNLO) School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhanHubeithe People's Republic of China

Antimony selenide(Sb_(2)Se_(3))is a promising candidate for photodetector applications boasting unique material benefits and remarkable optoelectronic *** high-performance self-powered Sb_(2)Se_(3)photodetector through a synergistic regulation of absorber layer and heterojunction interface demonstrates great potential and needs essential *** this study,an effective two-step thermodynamic/kinetic deposition technique containing sputtered and selenized Sb precursor is implemented to induce self-assembled growth of Sb_(2)Se_(3)light absorbing thin film with large crystal grains and desirable[hk1]orientation,presenting considerable thin-film photodetector ***,aluminum(Al^(3+))cation dopant is introduced to modify the optoelectronic properties of CdS buffer layer,and further optimize the Sb_(2)Se_(3)/CdS(Al)heterojunction interface *** to the suppressed carrier recombination and enhanced carrier transport kinetics,the champion Mo/Sb_(2)Se_(3)/CdS(Al)/ITO/Ag photodetector exhibits self-powered and broadband characteristics,accompanied by simultaneously high responsivity of 0.9 A W^(-1)(at 11 nW cm^(-2)),linear dynamic range of 120 dB,impressive ON/OFF switching ratio over 10^(6)and signal-to-noise ratio of 10^(9),record total noise determined realistic detectivity of 4.78×10^(12)Jones,and ultra-fast response speed with rise/decay time of 24/75 ns,representing the top level for Sb_(2)Se_(3)-based *** intriguing work opens up an avenue for its selfpowered broadband photodetector applications.

关键词： photoresponse recombination suppression Sb_(2)Se_(3) self-powered photodetector transport enhancement

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Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation

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Frontiers of information technology & Electronic Engineering 2022年第8期23卷 1247-1263页

作者： Peixi LIU Jiamo JIANG Guangxu ZHU Lei CHENG Wei JIANG Wu LUO Ying DU Zhiqin WANG State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijing 100871China China Academy of Information and Communications Technology Beijing 100191China Shenzhen Research Institute of Big Data Shenzhen 518172China College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China Zhejiang Provincial Key Laboratory of Information Processing Communication and NetworkingHangzhou 310027China

Training a machine learning model with federated edge learning(FEEL)is typically time consuming due to the constrained computation power of edge devices and the limited wireless resources in edge *** this study,the training time minimization problem is investigated in a quantized FEEL system,where heterogeneous edge devices send quantized gradients to the edge server via orthogonal *** particular,a stochastic quantization scheme is adopted for compression of uploaded gradients,which can reduce the burden of per-round communication but may come at the cost of increasing the number of communication *** training time is modeled by taking into account the communication time,computation time,and the number of communication *** on the proposed training time model,the intrinsic trade-off between the number of communication rounds and per-round latency is ***,we analyze the convergence behavior of the quantized FEEL in terms of the optimality ***,a joint data-and-model-driven fitting method is proposed to obtain the exact optimality gap,based on which the closed-form expressions for the number of communication rounds and the total training time are *** by the total bandwidth,the training time minimization problem is formulated as a joint quantization level and bandwidth allocation optimization *** this end,an algorithm based on alternating optimization is proposed,which alternatively solves the subproblem of quantization optimization through successive convex approximation and the subproblem of bandwidth allocation by bisection *** different learning tasks and models,the validation of our analysis and the near-optimal performance of the proposed optimization algorithm are demonstrated by the simulation results.

关键词： Federated edge learning Quantization optimization Bandwith allocation Training time minimization

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On connection between the convolutive and ordinary nonnegative matrix factorizations

On connection between the convolutive and ordinary nonnegati...

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10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012

作者： Phan, Anh Huy Cichocki, Andrzej Tichavský, Petr Koldovský, Zbyněk Lab. for Advanced Brain Signal Processing Brain Science Institute - RIKEN Japan Institute of Information Theory and Automation Prague Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Studentská 2 461 17 Liberec Czech Republic EE Dept. Warsaw University of Technology Systems Research Institute Poland

ISBN: (纸本)9783642285509

A connection between the convolutive nonnegative matrix factorization (NMF) and the conventional NMF has been established. As a result, we can convey arbitrary alternating update rules for NMF to update rules for CNMF. In order to illustrate the novel derivation method, a multiplicative algorithm and a new ALS algorithm for CNMF are derived. The experiments confirm validity and high performance of our method and of the proposed algorithm. © 2012 Springer-Verlag.

关键词： Matrix algebra

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Vehicle/human metadata analysis technology and its applications

NEC Technical Journal

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NEC Technical Journal 2010年第3期5卷 50-59页

作者： Oami, Ryoma Hosomi, Itaru Nakajima, Noboru Harada, Noriaki Information and Media Processing Laboratories United States Ubiquitous Solutions Group Advanced Technology Solutions Division NEC Informatec Systems Ltd. United States Platform Strategic Marketing Division United States

The video monitoring system was initially introduced for collection and recording of the video recorded by surveillance cameras. However, when it is combined with an image analysis technology it is expected to become a tool for improving the efficiency and functionality for the safety and security services. By targeting the implementation of a video monitoring system as an IT safety/security tool, NEC is developing a metadata analysis technology that is capable of the efficient extraction of specific images or information from the large amount of video collected by surveillance cameras according to purpose. This paper overviews the component technologies of the metadata analysis technology, focusing on the characteristics of vehicles and humans, including license plate recognition, super-resolution processing, vehicle features model matching, human face/clothing feature extraction and human feature model matching. It also introduces solutions that are applied to these technologies.

关键词： Monitoring

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Accurate short-term GHI forecasting using a novel temporal convolutional network model

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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024年 9卷

作者： Elmousaid, Rachida Drioui, Nissrine Elgouri, Rachid Agueny, Hicham Adnani, Younes Advanced Systems Engineering Laboratory Ibn Tofail University Kenitra System Analysis Information Processing and Integrated Industrial Laboratory Mohamed V University Information Technology Department University of Bergen Electronic Systems Information Processing Mechanics and Energy Laboratory Ibn Tofail University Kenitra

Global energy demand is on the rise, driven by factors such as population growth and economic *** renewable energy is crucial to meeting this energy demand in light of global warming and the depletion of fossil *** of the renewable energy sources that is extensively utilized in multiple countries worldwide is photovoltaic *** integrating photovoltaic (PV) energy into the grid offers substantial economic and environmental advantages, its intermittent nature presents challenges to maintaining grid stability at high penetration levels. Accurate solar energy estimations are essential for photovoltaic (PV) based energy facilities to enable early participation in energy markets and efficient resource planning. This study proposes and evaluates a Temporal Convolutional Network (TCN) model that can rapidly predict global horizontal irradiance (GHI) using univariate and multivariate approaches. To our knowledge, this is the first study to employ a TCN model for GHI forecasting. The univariate model solely considers GHI, while the multivariate time series models incorporate a combination of six variables: global horizontal irradiance, active power of a module plant, PV module temperature, wind speed, air temperature, and air pressure. The proposed model's effectiveness is validated by comparing its performance to benchmark models, including MLP, RNN, GRU, and LSTM. The prediction models’ performance is evaluated using root mean square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE). The results demonstrate that the effectiveness of univariate TCN models is evident in their performance for 5, 10, 15, and 20 min ahead short-term GHI forecasting, its mean absolute error (MAE) values achieved are 22.935 W/m² 33.47 W/m², 36.9994 W/m², and 41.9946 W/m², respectively. The multivariate model, incorporating additional variables, yielded higher MAE values : 37.928 W/m²

关键词： Deep learning models Global horizontal irradiance forecasting One step and multistep forecasting Temporal convolutional networks model Univariate and multivariate models

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Simultaneous quantum and classical communication via multiparameter modulation

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Physical Review A 2024年第3期109卷 032621-032621页

作者： Piao Tan Tao Wang Huanxi Zhao Zicong Tan Peng Huang Guihua Zeng Northwest University Xi'an 710127 Shaanxi China State Key Laboratory of Advanced Optical Communication Systems and Networks Center of Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai 200240 China College of Information Science and Technology Northwest University Xi'an 710127 Shaanxi China

Classical and quantum communication protocols share similarities in terms of signal modulation, transmission, and reception, providing a basis for their integration. The integration of these protocols can lead to high-efficiency and low-cost performance by utilizing a single set of communication infrastructures to simultaneously achieve continuous-variable quantum key distribution and classical communication on a single wavelength. In this paper, we propose a simultaneous quantum and classical communication (SQCC) protocol based on multiparameter modulation, which combines pulse position modulation (PPM) for classical communication and Gaussian-distributed modulation (GM) for quantum key distribution, named GMCS-PPM-SQCC protocol. Classical information is transmitted using the arrival time parameter of the coherent state, while quantum key information is distributed through the two quadrature components of the coherent state. Coherent detection is used to detect all three parameters, and different data processing schemes are utilized to extract the corresponding information. We verified the feasibility of the protocol through simulations, discussed its secure transmission distance, bit error rate, and secret key rate in realistic scenarios. Our protocol has better phase noise tolerance than traditional SQCC protocol. It can further facilitates the integration of classical and quantum communication, and contributes to the deployment and application of QKD.

关键词： Quantum communication Quantum information processing Quantum protocols

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Automatic phase compensation of a continuous-variable quantum-key-distribution system via deep learning

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Physical Review A 2023年第6期107卷 062614-062614页

作者： Zhe-Kun Zhang Wei-Qi Liu Jin Qi Chen He Peng Huang School of Information Science and Technology Northwest University Xi'an 710127 Shaanxi People's Republic of China Center for Quantum Sensing and Information Processing State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai 200240 People's Republic of China

In a practical continuous-variable quantum-key-distribution (CVQKD) system, it is vital to accurately evaluate and then compensate for the phase drifts of the signals, so that the involved system can achieve better performance and stability. In this paper, based on the long short-term memory network (LSTM) model, an automatic phase compensation approach of the CVQKD system is proposed. The LSTM model is first trained to predict the phase drift value of the quantum signal relative to the local oscillator over time. Then, the predicted phase drift value can be used by Alice to reconstruct her data. Finally, Alice and Bob can obtain the raw key, so that the CVQKD system can achieve enhancements in terms of performance and stability. The experimental results indicate that the proposed LSTM-based automatic phase compensation algorithm can accurately predict the phase drift value and perform phase compensation instead of real-time phase drift measurement, which improves the performance of the CVQKD system without requiring any additional quantum resources and extra experimental hardware.

关键词： Quantum communication

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Two-stage matrix-assisted glare suppression at a large scale

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Photonics Research 2022年第12期10卷 2693-2701页

作者： DAIXUAN WU JIAWEI LUO ZHIBING LU HANPENG LIANG YUECHENG SHEN ZHAOHUI LI School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and SystemsSun Yat-sen UniversityGuangzhou510006China State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen UniversityGuangzhou 510006China State Key Laboratory of Advanced Communication Systems and Networks Shanghai Jiao Tong UniversityShanghai 200240China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China

Scattering-induced glares hinder the detection of weak objects in various *** advances in wavefront shaping show one can not only enhance intensities through constructive interference but also suppress glares within a targeted region via destructive ***,due to the lack of a physical model and mathematical guidance,existing approaches have generally adopted a feedback-based scheme,which requires timeconsuming hardware ***,glare suppression with up to tens of speckles was demonstrated by controlling thousands of independent ***,we reported the development of a method named twostage matrix-assisted glare suppression(TAGS),which is capable of suppressing glares at a large scale without triggering time-consuming hardware *** using the TAGS,we experimentally darkened an area containing 100 speckles by controlling only 100 independent elements,achieving an average intensity of only 0.11 of the original *** is also noticeable that the TAGS is computationally efficient,which only takes 0.35 s to retrieve the matrix and 0.11 s to synthesize the *** the same number of independent controls,further demonstrations on suppressing larger scales up to 256 speckles were also *** envision that the superior performance of the TAGS at a large scale can be beneficial to a variety of demanding imaging tasks under a scattering environment.

关键词： scattering matrix speckle

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Secret information reconciliation based on punctured low-density parity-check codes for continuous-variable quantum key distribution

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Physical Review A 2017年第2期95卷 022318-022318页

作者： Xue-Qin Jiang Peng Huang Duan Huang Dakai Lin Guihua Zeng School of Information Science and Technology Donghua University Shanghai 201620 China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory on Navigation and Location-Based Service and Center of Quantum Sensing and Information Processing (QSIP) Shanghai Jiao Tong University Shanghai 200240 China College of Information Science and Technology Northwest University Xi'an Shaanxi 710127 China

Achieving information theoretic security with practical complexity is of great interest to continuous-variable quantum key distribution in the postprocessing procedure. In this paper, we propose a reconciliation scheme based on the punctured low-density parity-check (LDPC) codes. Compared to the well-known multidimensional reconciliation scheme, the present scheme has lower time complexity. Especially when the chosen punctured LDPC code achieves the Shannon capacity, the proposed reconciliation scheme can remove the information that has been leaked to an eavesdropper in the quantum transmission phase. Therefore, there is no information leaked to the eavesdropper after the reconciliation stage. This indicates that the privacy amplification algorithm of the postprocessing procedure is no more needed after the reconciliation process. These features lead to a higher secret key rate, optimal performance, and availability for the involved quantum key distribution scheme.

关键词： Quantum cryptography Quantum information processing Quantum information processing with continuous variables

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Security bound of continuous-variable measurement-device-independent quantum key distribution with imperfect phase reference calibration

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Physical Review A 2019年第5期100卷 052330-052330页

作者： Hong-Xin Ma Peng Huang Tao Wang Dong-Yun Bai Shi-Yu Wang Wan-Su Bao Gui-Hua Zeng Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou Information Science and Technology Institute Zhengzhou Henan 450001 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China State Key Laboratory of Advanced Optical Communication Systems and Networks and Center of Quantum Information Sensing and Processing Shanghai Jiao Tong University Shanghai 200240 China

Phase reference calibration is a necessary procedure in practical continuous-variable measurement-device-independent quantum key distribution (CV-MDI-QKD) for the need of Bell-state measurement. However, the phase reference calibration may become imperfect in practical applications. We explored the practical security of CV-MDI-QKD with imperfect phase reference calibration under realistic conditions of lossy and noisy quantum channels. Specifically, a comprehensive framework is developed to model and characterize the imperfection of the practical phase reference calibration operation, which is mainly caused by the nonsynchronization of two remote lasers in senders. Security analysis shows that the imperfect phase reference calibration has significant side effects on the performance and security of the CV-MDI-QKD protocol. A tight security bound to thermal excess noise introduced by imperfect phase reference calibration is derived for reverse reconciliation against one-mode collective Gaussian attack in the asymptotic limit, and the upper threshold of this imperfection tolerated by the system is obtained. This security analysis framework can eliminate the security hazards caused by imperfect phase reference calibration without changing the existing CV-MDI-QKD system structure. In addition, this work will improve the practical security framework of CV-MDI-QKD protocol and provide theoretic instruction for the experimental implementation of CV-MDI-QKD protocol.

关键词： Quantum communication Quantum cryptography Quantum information processing with continuous variables Quantum networks

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