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Nonreciprocity in Cold Atoms Based on Electromagnetically Induced Transparency

Physical Review Applied 2023年第1期20卷 014027-014027页

作者： Jian-Feng Li Yun-Fei Wang Pei-Sheng Huang Ke-Yu Su Yu-Qing Peng Shanchao Zhang Hui Yan Shi-Liang Zhu Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) South China Normal University Guangzhou 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication Engineering South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Frontier Research Institute for Physics South China Normal University Guangzhou 510006 China Guangdong Provincial Engineering Technology Research Center for Quantum Precision Measurement South China Normal University Guangzhou 510006 China

Nonreciprocal quantum devices with low loss are indispensable in quantum information processing but challenging to be realized. Here we report an experiment to realize the nonreciprocal phase shift larger than π with low loss in a cavity-free and magnetic-free cold atomic ensemble based on electromagnetically induced transparency. Furthermore, a four-port all-optical circulator is demonstrated with an average isolation ratio of 22.25 dB and transmission of 0.94 for each channel. At its optimal working point, the circulator’s total isolation ratio reaches 63.47 dB, transmission reaches 0.86, and fidelity at about 0.99. Our work can advance further investigation of nonreciprocity with cold atoms in quantum information processing applications.

关键词： Cold atoms & matter waves Electromagnetically induced transparency Non-reciprocal transmission Quantum control Quantum information with atoms & light Atomic ensemble Devices Mach-Zehnder atom interferometry

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A Classification–Detection Approach of COVID-19 Based on Chest X-ray and CT by Using Keras Pre-Trained Deep Learning Models

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Computer Modeling in engineering & Sciences 2020年第11期125卷 579-596页

作者： Xing Deng Haijian Shao Liang Shi Xia Wang Tongling Xie School of Computer Science Jiangsu University of Science and TechnologyZhenjiang212003China School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjing210096China School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang212003China School of Information Science and Technology Nantong UniversityNantong226019China Department of Electrical and Computer Engineering National University of Singapore117583Singapore The People’s Hospital of RUGAO Nantong226500China

The Coronavirus Disease 2019(COVID-19)is wreaking havoc around the world,bring out that the enormous pressure on national health and medical staff *** of the most effective and critical steps in the fight against COVID-19,is to examine the patient’s lungs based on the Chest X-ray and CT generated by radiation *** this paper,five keras-related deep learning models:ResNet50,InceptionResNetV2,Xception,transfer learning and pre-trained VGGNet16 is applied to formulate an classification-detection approaches of *** benchmark methods SVM(Support Vector Machine),CNN(Conventional Neural Networks)are provided to compare with the classification-detection approaches based on the performance indicators,i.e.,precision,recall,F1 scores,confusion matrix,classification accuracy and three types of AUC(Area Under Curve).The highest classification accuracy derived by classification-detection based on 5857 Chest X-rays and 767 Chest CTs are respectively 84%and 75%,which shows that the keras-related deep learning approaches facilitate accurate and effective COVID-19-assisted detection.

关键词： COVID-19 detection deep learning transfer learning pre-trained models

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Deployment of NRF in the Docker and Kubernetes - Based NFV Platform 1

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Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020

作者： Huang, Di Xu, Zhan Tian, Zhigang Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China School of Information and Communication Engineering Beijing Information Science & Technology University Beijing China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

ISBN: (数字)9783030440381

ISBN: (纸本)9783030440374

Network Function Virtualization (NFV) which is one of the core technologies plays an important role in reality. NFV permits using Virtual Network Functions (VNF) as software components on top of a virtualization system (i.e., Virtual Machines or Containers) hosted in a cloud, which makes network services and functions deployed in high flexibility and elasticity. Therefore, based on this design concept, in 5G core networks, NRF (Network Repository Function), which was implemented in a server, supports network function of registering and monitoring conditions. It achieves automatic management, selection, and scalability of network function services. In this paper, NRF is deployed in Docker and Kubernetes-based NFV platform in the form of JSON + HTTP/2.0 that supports service discovery function. The performance is tested on a hardware platform, including Network Function (NF) Register, NF Update and NF Deregister. From the testing data, we can find that the NRF in the Docker and Kubernetes-based NFV platform is better than only Docker implemented platform. © 2020, Springer Nature Switzerland AG.

关键词： Network function virtualization

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IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks

arXiv

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arXiv 2022年

作者： Xue, Ping Lu, Yang Chang, Jingfei Wei, Xing Wei, Zhen The School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China The School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China The Anhui Mine IOT and Security Monitoring Technology Key Laboratory Hefei230088 China The Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei University of Technology Hefei230009 China The Intelligent Manufacturing Institute of HeFei University of Technology Hefei230009 China

Weight and activation binarization can efficiently compress deep neural networks and accelerate model inference, but cause severe accuracy degradation. Existing optimization methods for binary neural networks (BNNs) focus on fitting full-precision networks to reduce quantization errors, and suffer from the trade-off between accuracy and computational complexity. In contrast, considering the limited learning ability and information loss caused by the limited representational capability of BNNs, we propose IR2Net to stimulate the potential of BNNs and improve the network accuracy by restricting the input information and recovering the feature information, including: 1) information restriction: for a BNN, by evaluating the learning ability on the input information, discarding some of the information it cannot focus on, and limiting the amount of input information to match its learning ability;2) information recovery: due to the information loss in forward propagation, the output feature information of the network is not enough to support accurate classification. By selecting some shallow feature maps with richer information, and fusing them with the final feature maps to recover the feature information. In addition, the computational cost is reduced by streamlining the information recovery method to strike a better trade-off between accuracy and efficiency. Experimental results demonstrate that our approach still achieves comparable accuracy even with ∼10x floating-point operations (FLOPs) reduction for ResNet-18. The models and code are available at https://***/pingxue-hfut/IR2Net. Copyright © 2022, The Authors. All rights reserved.

关键词： Recovery

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A Study of Discharge Cavity Optimization in Hollow-Cathode Electron Beam Source

SSRN

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SSRN 2023年

作者： He, Weiguo Huo, Weijie Duan, Xinxin Gu, Jun Zhu, Kangwu School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province Taiji Laboratory for Gravitational Wave Universe Hangzhou310024 China Shanghai Aerospace Electronic Technology Institute Shanghai201109 China Shanghai SastSpace Technology Co. Ltd Shanghai201109 China Shanghai Aerospace Control Technology Institute Shanghai201109 China

Improving the high-voltage resistance of the discharge cavity is essential to enhancing the performance of the hollow-cathode electron source. In this work, a discharge cavity of the hollow-cathode electron beam source is designed and optimized by stacking and isolating the insulating sheets. The experimental results indicate that the optimized design not only improves the overall high-voltage resistance of the device but also improves the stability of the discharge. Meanwhile, it is found that when the amplitude of the discharge breakdown voltage is increased from 12 kV to 20 kV, the resistance of the discharge cavity varies within the range of 3.8–3.7 Ω, with a slight change in the amplitude, and the inductance decreases from 356 nH to 323.1 nH. The experimental study of the high-pressure gas discharge characteristics in the discharge cavity reveals that the change in gas pressure leads to a significant change in the discharge pattern, and compared with the glow discharge, the hollow-cathode discharge significantly improves the discharge current and shortens the breakdown time of the discharge. Under the same air pressure, the breakdown voltage of the discharge decreases and then increases with the increase in cathode cavity length. © 2023, The Authors. All rights reserved.

关键词： Glow discharges

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Lateral Trajectory Stabilization of an Articulated Truck during Reverse Driving Maneuvers 31

Lateral Trajectory Stabilization of an Articulated Truck dur...

引用

31st IEEE Intelligent Vehicles Symposium, IV 2020

作者： Kumar, Mohit Hildebrandt, Arne-Christoph Strauss, Peter Kraus, Sven Stiller, Christoph Zimmermann, Andreas Mobile Perception System Forschungszentrum Informatik Karlsruhe Germany Engineering Central Research Man Truck Bus SE. Munich Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe Germany

The stabilization of articulated truck i.e. truck-semitrailer is a complex problem due to the instable dynamics. In this paper, a lateral trajectory stabilization algorithm for reverse driving of truck-semitrailer is proposed. A cascade control is presented for lateral trajectory stabilization of truck-semitrailer. A high-level path tracking algorithm handles the path tracking of a virtual vehicle which is an equivalent model for the semitrailer. A low-level Linear Quadratic Regulator (LQR) stabilizes the hitch angle. The path tracking problem is formulated as a linear time-varying differential dynamic programming problem subjective to virtual vehicle dynamics in a receding horizon fashion. The virtual vehicle dynamics are defined by the single track kinematic vehicle model and the hitch angle dynamics is used for formulating the Linear Quadratic Regulator problem. The approach is demonstrated with replays of real-world path tracking scenarios on a full-scale truck-semitrailer prototype. © 2020 IEEE.

关键词： Stabilization

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An Optimal Lateral Trajectory Stabilization of Vehicle using Differential Dynamic Programming 31

An Optimal Lateral Trajectory Stabilization of Vehicle using...

引用

31st IEEE Intelligent Vehicles Symposium, IV 2020

Vehicles nowadays are equipped with several assistance functions for e.g. Cruise control and Lane Keeping Assist. Classical lateral control approaches such as pure pursuit, Stanley used for lane keeping assist provide good path tracking precision. However the operational domain for these approaches is limited i.e. highway driving. An adaptation of control parameters can increase the operational domain, but its difficult to tune classical approaches for the whole range of automated driving maneuvers. Apart from these classical approaches, optimization approaches are also used for lateral trajectory stabilization. The optimization based approaches have a wider operational domain, but the feasibility and real time execution remain some open issues. In this paper, we combine a classical approach and an optimization method for lateral trajectory stabilization. We present a method to optimize the control input calculated using a classical control approach i.e. pure pursuit based on a performance criteria. The performance criteria weighs the precision and comfort requirements. A non- linear optimization based on Differential Dynamic Programming (DDP) is used to solve the optimization problem. The calculated optimal trajectory is finally evaluated using a line search method to ensure the convergence and to verify the optimization policy. The approach is demonstrated on a full scale automated truck prototype and the experimental results are discussed. © 2020 IEEE.

关键词： Trajectories

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Neutronic and Thermaldynamic Analysis on control Drum Failures Accident in Heat Pipe Cooled Reactors

SSRN

引用

SSRN 2023年

作者： Gao, Tianyu Zhou, Tao Huang, Dongli Xue, Chunhui Lu, Huaichang Tang, Jianyu Department of Nuclear Science and Technology School of Energy and Environment Southeast University Jiangsu Nanjing210096 China Institute of Nuclear Thermal-hydraulic Safety and Standardization Jiangsu Nanjing210096 China National Engineering Research Center of Large Power Generation Equipment Safety Operation and Intelligent Measurement and Control Southeast University Jiangsu Nanjing210096 China

This manuscript analyzed the reactor safety of a heat pipe cooled reactor, determining the accident severity in the control drum failure accidents, by calculating the reactivity insertion and radial power distribution with OpenMC, core temperature distribution and actual power density with COMSOL. In addition, this manuscript provides a universal control drum design scheme by changing the shape of the control drum. Results show that the conventional control drum structure has inherent safety characteristics in the case of single control drum failure. When multiple control drums fail, the maximum temperature of reactor core exceeds the designed upperbound, requiring the insertion of safety rod to emergency shut down. In order to reduce the impact of positive reactivity insertion and mitigate the severity of the accident, the control drum absorber and a part of reflector should be designed integratedly as the cylindrical control drums. © 2023, The Authors. All rights reserved.

关键词： Heat pipes

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Frequency-dependent squeezing via Einstein–Podolsky–Rosen entanglement based on silicon nitride microring resonators

arXiv

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arXiv 2024年

作者： Xu, Haodong Shu, Zijun Li, Nianqin Shen, Yang Ji, Bo Yang, Yongjun Wu, Tengfei Long, Mingliang He, Guangqiang State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Precision Spectroscopy East China Normal University Shanghai200062 China Science and Technology on Metrology and Calibration Laboratory Changcheng Institute of Metrology Measurement Aviation Industry Corporation of China Beijing100095 China Shanghai Astronomical Observatory Chinese Academy of Sciences China

Significant efforts have been made to enhance the performance of displacement sensors limited by quantum noise, such as gravitational wave detectors. Techniques like frequency-dependent squeezing have overcome the standard quantum limit in optomechanical force measurements, leading to substantial overall progress. These advancements, coupled with major developments in integrated photonics, have paved the way for the emergence of integrated Kerr quantum frequency combs (QFCs). A platform has been established for designing EPR entangled quantum frequency combs using on-chip silicon nitride microring resonators, enabling thorough analysis and optimization of entanglement performance, as well as effective noise reduction adjustments. This platform, incorporating the quantum dynamics of Kerr nonlinear microresonators, supports at least 12 continuous-variable quantum modes in the form of 6 simultaneous two-mode squeezed pairs (EPR entangled pairs). Additionally, by selecting the detection angle of the idler mode, a single-mode squeezed state is generated in the signal mode. Given the frequency-dependent nature of the detection angle, frequency-dependent squeezing is achieved. A comparative analysis of the results under different dispersion conditions is also conducted. Copyright © 2024, The Authors. All rights reserved.

关键词： Silicon nitride

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Dynamic space-covered broadcast algorithm based on neighbor-degree in mobile ad hoc wireless networks

Dynamic space-covered broadcast algorithm based on neighbor-...

引用

2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020

作者： Lou, Qiaoqiao Zhao, Zhijin School of Telecommunication Engineering Hangzhou Dianzi University China State Key Lab of Information Control Technology in Communication System of No.36 Research Institute China Electronic Technology Corporation China

ISBN: (纸本)9781643681368

Broadcast is an important link in mobile ad hoc wireless networks (MANETs). In order to improve broadcast coverage, reduce forwarding probability and broadcast collision, a dynamic space-covered broadcast algorithm based on neighbor-degree in MANETs is proposed. The concepts of neighbor-degree, available-angel and available-distance are introduced. The neighbor-degree is used to generate the initial forwarding probability of a node. Based on the available-angle and available-distance, the node weight is proposed to calculate the final forwarding probability, thereby realizing the dynamic selection of forwarding node and reflecting the dynamic space-covered of node. The forwarding strategy is proposed to reduce broadcast collision. Simulation results show that, compared with dynamic probability broadcast and node location based space-covered broadcast, proposed broadcast algorithm reduces the broadcast collision, improves the broadcast coverage, and reduces the forwarding probability when the number of nodes is large. © 2020 The authors and IOS Press.

关键词： Probability

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