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Topologically protected entanglement switching around exceptional points

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Light(Science & Applications) 2024年第8期13卷 1631-1644页

作者： Zan tang Tian Chen Xing tang Xiangdong Zhang Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education Beijing Key Laboratory of Nanophotonics&Ultrafine Optoelectronic SystemsSchool of PhysicsBeijing Institute of Technology100081 BeijingChina

The robust operation of quantum entanglement states is crucial for applications in quantum information,computing,and communications^(1–3).However,it has always been a great challenge to complete such a task because of decoherence and ***,we propose theoretically and demonstrate experimentally an effective scheme to realize robust operation of quantum entanglement states by designing quadruple degeneracy exceptional *** encircling the exceptional points on two overlapping Riemann energy surfaces,we have realized a chiral switch for entangled states with high *** to the topological protection conferred by the Riemann surface structure,this switching of chirality exhibits strong robustness against perturbations in the encircling ***,we have experimentally validated such a scheme on a quantum walk *** work opens up a new way for the application of non-Hermitian physics in the field of quantum information.

关键词： exceptional quantum Riemann

An economic way to achieve all-weather CO2 reduction

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National Science Review 2024年第3期11卷 46-47页

作者： Junwang tang Department of Chemical Engineering University College London

Utilising solar power to convert carbon dioxide（CO2） into hydrocarbon fuels presents an eco-friendly method to address dependence on fossil fuels and contribute to a net-zero CO2emission goal[1,2].

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UAV-assisted data collection for wireless sensor networks with dynamic working modes

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Digital Communications and Networks 2024年第3期10卷 805-812页

作者： Jie Chen Jianhua tang Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou511442China

Wireless Sensor Network(WSN)is a cornerstone of Internet of Things(IoT)and has rich application *** this work,we consider a heterogeneous WSN whose sensor nodes have a diversity in their Residual Energy(RE).In this work,to protect the sensor nodes with low RE,we investigate dynamic working modes for sensor nodes which are determined by their RE and an introduced energy ***,we employ an Unmanned Aerial Vehicle(UAV)to collect the stored data from the heterogeneous *** aim to jointly optimize the cluster head selection,energy threshold and sensor nodes’working mode to minimize the weighted sum of energy con-sumption from the WSN and UAV,subject to the data collection rate *** this end,we propose an efficient search method to search for an optimal energy threshold,and develop a penalty-based successive convex approximation algorithm to select the cluster *** we present a low-complexity iterative approach to solve the joint optimization problem and discuss the implementation *** results justify that our proposed approach is able to reduce the energy consumption of the sensor nodes with low RE significantly and also saves energy for the whole WSN.

关键词： Unmanned aerial vehicle Wireless sensor networks Cluster heads Dynamic working modes

Highly effective design of high GFA alloys with different metalbased and various components by machine learning

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Science China(Technological Sciences) 2024年第5期67卷 1431-1442页

作者： tang YiChuan HE YiFan FAN ZhuoQun WANG ZhongQi tang ChengYing Guangxi Key Laboratory for Informational Materials School of Materials Science and EngineeringGuilin University of Electronic TechnologyGuilin541004China

The glass-forming ability(GFA)is of great significance for the development of novel functional metal-based metallic *** this study,seven popular machine learning(ML)algorithms were employed to design novel M-based(M=Fe,Co,Ni,Ti,Zr,and rare earth metal(RE))and X-component(X=2,3,4,5,6,and>6)alloys with excellent GFA.A GFA containing 6957 data points with structural analysis was *** engineering was used to analyze the importance and correlation of *** algorithms were utilized for GFA prediction,revealing that Xtreme Gradient Boosting Trees exhibited the strongest predictive capability,achieving a high accuracy of 94.0%,a true positive rate of 97.6%,and a root mean squared error of 0.3705 across the entire ***,the GFA of ternary to hexahydroxy alloys based on Fe,Co,Ni,Zr,Ti,and Y was predicted using all possible compositions generated through ***,a series of alloys with good GFA was successfully designed and *** present work suggests that the proposed ML method can be utilized to design novel multiple-M-based amorphous alloys with high GFA.

关键词： machine learning amorphous alloy feature engineering materials design glass forming ability

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正挤横轧式农用车后桥半轴套管的研究开发

农业机械学报 2001年第3期32卷 113-115页

作者：韩英淳王学明唐志强吉林大学汽车零部件工程中心长春市130025 长春汽车研究所长春市130011

在成功地开发轻型车正挤与横轧式后桥半轴套管的基础上 ,自主开发了 16 0 8型、2 310型及 2 815型农用运输车的正挤与横轧式后桥半轴套管 ,并实现系列化规模生产。

关键词：正挤压横轧农用运输车半轴套管后桥

Nuclear charge radius predictions by kernel ridge regression with odd-even effects

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Nuclear Science and Techniques 2024年第2期35卷 94-102页

作者： Lu tang Zhen-Hua Zhang Mathematics and Physics Department North China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Physics and Energy Technology North China Electric Power UniversityBaoding 071000China

The extended kernel ridge regression(EKRR)method with odd-even effects was adopted to improve the description of the nuclear charge radius using five commonly used nuclear *** are:(i)the isospin-dependent A^(1∕3) formula,(ii)relativistic continuum Hartree-Bogoliubov(RCHB)theory,(iii)Hartree-Fock-Bogoliubov(HFB)model HFB25,(iv)the Weizsacker-Skyrme(WS)model WS*,and(v)HFB25**** the last two models,the charge radii were calculated using a five-parameter formula with the nuclear shell corrections and deformations obtained from the WS and HFB25 models,*** each model,the resultant root-mean-square deviation for the 1014 nuclei with proton number Z≥8 can be significantly reduced to 0.009-0.013 fm after considering the modification with the EKRR *** best among them was the RCHB model,with a root-mean-square deviation of 0.0092 *** extrapolation abilities of the KRR and EKRR methods for the neutron-rich region were examined,and it was found that after considering the odd-even effects,the extrapolation power was improved compared with that of the original KRR *** strong odd-even staggering of nuclear charge radii of Ca and Cu isotopes and the abrupt kinks across the neutron N=126 and 82 shell closures were also calculated and could be reproduced quite well by calculations using the EKRR method.

关键词： Nuclear charge radius Machine learning Kernel ridge regression method

电-气混合系统安全约束最优能量流的分布式计算

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华南理工大学学报（自然科学版） 2020年第7期48卷 36-46页

作者：林舜江唐智强谢煜铨何森宋雨浓华南理工大学电力学院广东广州510640

考虑了电力系统和天然气系统之间存在燃气发电机和电机驱动压缩机的耦合,建立了电-气混合系统安全约束最优能量流计算模型。模型以混合系统的总运行成本,即燃煤发电机组发电消耗燃煤的成本和天然气网从气源消耗天然气的成本之和为目标函... 详细信息

考虑了电力系统和天然气系统之间存在燃气发电机和电机驱动压缩机的耦合,建立了电-气混合系统安全约束最优能量流计算模型。模型以混合系统的总运行成本,即燃煤发电机组发电消耗燃煤的成本和天然气网从气源消耗天然气的成本之和为目标函数,同时考虑了电力系统和天然气系统中多个N-1故障的安全约束。首先,通过计及电力系统和天然气系统间交易的影响,对原优化模型的目标函数进行分离,并采用一阶泰勒级数展开,分别实现了对燃气发电机和电机驱动压缩机的耦合特性方程的线性化,使得可采用同步型交替方向乘子法(ADMM)对安全约束最优能量流计算模型进行分布式求解;然后采用GAMS软件中的CONOPT求解器分别对电力系统和天然气系统的最优能量流进行求解;最后以修改的IEEE39节点电力系统与比利时20节点天然气系统构成的电-气混合系统为例,对所提出的模型和求解算法的正确性和有效性进行了验证,计算结果表明所提出的模型和求解算法正确有效。

关键词：电-气混合系统最优能量流 N-1故障安全约束分布式计算同步型ADMM

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扬州方言入声区别性特征的感知研究

方言 2018年第4期40卷 411-420页

作者：唐志强李善鹏安徽大学合肥南京师范大学文学院南京

声学实验显示扬州方言入声与去声的单字调调值重合,时长有别,当地人可有效区分。本文分别改变去声-入声的时长信息和基频信息,进行感知实验,得出结论:(1)时长是感知入声的区别性特征;(2)喉塞尾不是入声感知的必备条件,但可提高入声感知... 详细信息

声学实验显示扬州方言入声与去声的单字调调值重合,时长有别,当地人可有效区分。本文分别改变去声-入声的时长信息和基频信息,进行感知实验,得出结论:(1)时长是感知入声的区别性特征;(2)喉塞尾不是入声感知的必备条件,但可提高入声感知的辨认度。

关键词：江淮官话扬州方言入声感知区别性特征时长

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基于伪随机线性调频的双序列跳频通信方法

华中科技大学学报（自然科学版） 2019年第11期47卷 30-36页

作者：全厚德唐志强孙慧贤崔佩璋陆军工程大学石家庄校区电子与光学工程系河北石家庄050003 电子科技大学通信抗干扰国家级重点实验室四川成都611731

为解决双序列跳频在对偶信道被干扰时误码率较高的问题,提出一种基于伪随机线性调频(LFM)的双序列跳频(PRLFM_BSFH)通信方法.在发送端,将线性调频信号作为特征信息与双序列跳频信号混频后通过射频(RF)前端发射出去;在接收端,将接收信号... 详细信息

为解决双序列跳频在对偶信道被干扰时误码率较高的问题,提出一种基于伪随机线性调频(LFM)的双序列跳频(PRLFM_BSFH)通信方法.在发送端,将线性调频信号作为特征信息与双序列跳频信号混频后通过射频(RF)前端发射出去;在接收端,将接收信号解跳后采用分数阶傅里叶变换进行处理,然后经过抽样判决得到发送端信息.构建了基于伪随机线性调频的双序列跳频通信系统模型,推导了其在瑞利信道下抗跟踪干扰和部分频带干扰的误码率(BER)表达式,并对理论分析进行仿真验证.结果表明:该通信方法的抗干扰性能优于双序列跳频,在不同干扰参数设置下,均有至少5 dB以上的性能增益.

关键词：双序列跳频线性调频(LFM) 分数阶傅里叶变换跟踪干扰部分频带干扰