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Experimental witnessing for entangled states with limited local measurements

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Photonics Research 2022年第9期10卷 2047-2055页

作者： GAOYAN ZHU CHENGJIE ZHANG kunkun wang LEI XIAO PENG XUE Beijing Computational Science Research Center Beijing 100084China School of Physical Science and Technology Ningbo UniversityNingbo 315211China State Key Laboratory of Precision Spectroscopy School of Physics and Electronic ScienceEast China Normal UniversityShanghai 200241China

We experimentally demonstrate a method for detection of entanglement via construction of entanglement witnesses from a limited fixed set of local measurements(M).Such a method does not require a priori knowledge about the form of the entanglement *** is suitable for a scenario where a full state tomography is not available,but the only resource is a limited set of *** demonstrate the method on pure two-qubit entangled states and mixed two-qubit entangled states,which emerge from photonic implementation of controllable quantum noisy *** states we select are motivated by realistic experimental conditions,and we confirm it works well for both ***,possible generalizations to higher-dimensional bipartite systems have been considered,which can potentially detect both decomposable and indecomposable entanglement *** experimental results show perfect validity of the method,which indicates that even a limited set of local measurements can be used for quick entanglement detection and further provide a practical test bed for experiments with entanglement witnesses.

关键词： local bipartite generalization

Observation of dark edge states in parity-time-symmetric quantum dynamics

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National Science Review 2023年第8期10卷 156-165页

作者： Peng Xue Xingze Qiu kunkun wang Barry C. Sanders Wei Yi Beijing Computational Science Research Center Key Laboratory of Quantum Information University of Science and Technology of China Chinese Academy of Sciences Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Chinese Academy of Sciences 4. School of Physics and Optoelectronic Engineering Anhui University Shanghai Branch National Laboratory for Physical Sciences at MicroscaleUniversity of Science and Technology of China Institute for Quantum Science and Technology University of Calgary Program in Quantum Information Science Canadian Institute for Advanced Research

Topological edge states arise in non-Hermitian parity-time(PT)-symmetric systems, and manifest themselves as bright or dark edge states, depending on the imaginary components of their eigenenergies. As the spatial probabilities of dark edge states are suppressed during the non-unitary dynamics, it is a challenge to observe them experimentally. Here we report the experimental detection of dark edge states in photonic quantum walks with spontaneously broken PT symmetry, thus providing a complete description of the topological phenomena therein. We experimentally confirm that the global Berry phase in PT-symmetric quantum-walk dynamics unambiguously defines topological invariants of the system in both the PT-symmetry-unbroken and-broken regimes. Our results establish a unified framework for characterizing topology in PT-symmetric quantum-walk dynamics, and provide a useful method to observe topological phenomena in PT-symmetric non-Hermitian systems in general.

关键词： parity-time symmetry photonic quantum walks dark edge states topological invariants

磷酸盐矿物固铀法处理含铀废水研究现状与进展

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工业水处理 2024年第6期44卷 34-39页

作者：柯平超钟婷婷吴天楠王坤坤李家乐周义朋孙占学东华理工大学核资源与环境国家重点实验室江西南昌330013 东华理工大学水资源与环境工程学院江西南昌330013

铀矿及铀-多金属矿采冶过程产生的含铀废水的无害化与资源化是核资源与环境领域的研究热点。综述了磷酸盐矿物固铀法处理含铀废水的研究现状与进展,介绍了可溶磷酸盐固铀、含磷天然矿物固铀、人工合成磷酸盐吸附材料固铀、生物介导有机... 详细信息

铀矿及铀-多金属矿采冶过程产生的含铀废水的无害化与资源化是核资源与环境领域的研究热点。综述了磷酸盐矿物固铀法处理含铀废水的研究现状与进展,介绍了可溶磷酸盐固铀、含磷天然矿物固铀、人工合成磷酸盐吸附材料固铀、生物介导有机磷固铀的固化原理及效果。相较于其他矿物固铀工艺,磷酸盐矿物固铀具有效率高、成本低、产物稳定性强的优点。磷酸盐固铀过程中,金属阳离子种类决定着固铀成矿过程及产物种类,在众多金属磷酸盐固铀矿物中,变钙铀云母的溶解稳定性最高,这为磷酸盐矿物固铀法在低浓度含铀溶液中铀的脱除与回收提供了新的思路。

关键词：铀含铀废水矿物固化法固铀机理矿化

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放射性铌铁精矿中铀钍的脱除及分离

有色金属（冶炼部分） 2024年第2期 83-91,106页

作者：柯平超王坤坤钟婷婷周义朋马晓磊万凌云徐玲玲王健黎广荣东华理工大学核资源与环境国家重点实验室南昌330013 东华理工大学水资源与环境工程学院南昌330013 阿克陶科邦锰业制造有限公司新疆阿克陶845550 新疆有色金属研究所乌鲁木齐830022

通过对国内某企业进口放射性铌铁精矿进行工艺矿物学分析,确定该精矿的主要矿相为烧绿石,同时伴生钛铁矿和白云母,矿石中放射性元素U和Th的含量分别为0.27%和1.03%。针对该铌铁精矿,探索H_(2) SO_(4)-Fe(Ⅲ)、H_(2)SO_(4)-HF-H_(2)O_(2)... 详细信息

通过对国内某企业进口放射性铌铁精矿进行工艺矿物学分析,确定该精矿的主要矿相为烧绿石,同时伴生钛铁矿和白云母,矿石中放射性元素U和Th的含量分别为0.27%和1.03%。针对该铌铁精矿,探索H_(2) SO_(4)-Fe(Ⅲ)、H_(2)SO_(4)-HF-H_(2)O_(2)、H_(2)SO_(4)-HF、H_(2)SO_(4)-HF-H_(2)O_(2)-(NH_(4))_(2)CO_(3)体系中U和Th的浸出及分离效果,最终确定H_(2) SO_(4)-HF-H_(2)O_(2)-(NH_(4))_(2)CO_(3)多段浸出工艺能有效实现U和Th的脱除与分离。U、Th的脱除率分别为100%和80%。基于研究提出了铌铁精矿U、Th脱除及分离工艺流程。

关键词：铌铁精矿铀钍多段浸出

不同灌溉模式对小麦冬前幼苗生长及生理特性和产量的影响

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西北农业学报 2024年第7期33卷 1215-1224页

作者：王坤坤李中蔚李昕悦刘慧莲黄敬尧宋有洪李金才李金鹏安徽农业大学农学院合肥230036

为探明不同灌溉模式对淮北地区小麦冬前幼苗生长及生理特性和产量的影响,以‘烟农19’为供试材料,设置不灌溉(W0)、播后灌溉60 mm(W1)、播种后和分蘖期每次微喷30 mm(W2)共3种灌溉模式,研究不同处理对苗期土壤水分含量变化、幼苗农艺性... 详细信息

为探明不同灌溉模式对淮北地区小麦冬前幼苗生长及生理特性和产量的影响,以‘烟农19’为供试材料,设置不灌溉(W0)、播后灌溉60 mm(W1)、播种后和分蘖期每次微喷30 mm(W2)共3种灌溉模式,研究不同处理对苗期土壤水分含量变化、幼苗农艺性状、叶片生理特性、籽粒产量及产量构成的影响。结果表明,与W0和W1相比,W2维持了小麦三叶期、六叶期和越冬期土壤0~20 cm适宜的水分含量。W1和W2较W0处理促进三叶期和六叶期幼苗的生长;越冬期幼苗的分蘖数、株高、叶龄、初生根和次生根数目均表现为W2显著高于W1,二者显著高于W0。不同时期幼苗的茎+鞘、叶干质量为W2>W1>W0。W2不同生育时期群体叶面积指数显著高于W1,W0最低;六叶期W1与W2的叶片叶绿素含量无显著差异,二者显著高于W0,越冬期为W2>W1>W0。W0不同时期叶片超氧化物歧化酶、过氧化氢酶、过氧化物酶活性和丙二醛含量显著高于W1,除六叶期W1与W2的过氧化氢酶活性无显著差异外,各时期的超氧化物歧化酶和过氧化物酶活性均为W2最低。成熟期小麦籽粒产量和产量构成要素均表现为W2>W1>W0。综上,播后和分蘖期利用微喷灌可以维持苗期适宜的土壤水分含量,促进幼苗生长发育,提高幼苗抗逆能力,进而有利于形成壮苗并增加产量。

关键词：小麦微喷灌幼苗生长生理特性干物质产量

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Tailoring the Microstructure and Mechanical Property of Mg-Zn Matrix Composite via the Addition of Al Element

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 438-452页

作者： Chong wang Fuyuan Liu Xuejian wang Enyu Guo Zelong Du kunkun Deng Zongning Chen Huijun Kang Guohao Du Tongmin wang Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China School of Mechanical Engineering Guizhou UniversityGuiyang 550025China Ningbo Institute of Dalian University of Technology Ningbo 315000China Shanxi Key Laboratory of Advanced Magnesium-Based Materials College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuan 030024China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute CASShanghai 201204China

The semi-solid stir casting method is adopted to prepare 10 wt%SiC_(p)/Mg-6Zn-0.5Ca-xAl(x=0,1,3 and 5 wt%)composites,and the microstructure evolution and mechanical property of composites with various Al content are *** results show that the addition of 3 wt%Al improves the distribution of SiC_(p),whereas the SiC_(p) cluster occurs again with Al content greater than 3%.An abnormal phenomenon of twinning is observed in the cast composites in this *** SiC_(p)/Mg-6Zn-0.5Ca composite possesses the highest twin content of~23%,for which tension twins(TTW)and compression twins(CTW)account for~19%and~3%,*** CTW is only observed in ZXA600 *** addition of Al has an inhibiting effect for the generation and growth of *** content of twin decreases firstly and then increases with increase of Al *** lowest twin content is obtained as Al increases to 3 wt%.It is found the existence of twin is detrimental to the mechanical property of ***-cast SiC_(p)/Mg-6Zn-0.5Ca-3Al composite with the lowest twin content exhibits the optimal mechanical property of yield strength,ultimate tensile strength and elongation for 100 MPa,188 MPa and 4.4%,*** outstanding mechanical property is attributed to the uniform distribution of SiC_(p),the low twin content and the well-distributed fine second phases.

关键词： Mg matrix composite Synchrotron tomography Twinning Liquid melt processing Mechanical property

Experimental realization of a quantum image classifier via tensor-network-based machine learning

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Photonics Research 2021年第12期9卷 2332-2340页

作者： kunkun wang LEI XIAO WEI YI SHI-JU RAN PENG XUE Beijing Computational Science Research Center Beijing 100084China School of Physics and Optoelectronics Engineering Anhui UniversityHefei 230601China CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics Hefei 230026China Department of Physics Capital Normal UniversityBeijing 100048China

Quantum machine learning aspires to overcome intractability that currently limits its applicability to practical ***,quantum machine learning itself is limited by low effective dimensions achievable in stateof-the-art ***,we demonstrate highly successful classifications of real-life images using photonic qubits,combining a quantum tensor-network representation of hand-written digits and entanglement-based ***,we focus on binary classification for hand-written zeroes and ones,whose features are cast into the tensor-network representation,further reduced by optimization based on entanglement entropy and encoded into two-qubit photonic *** then demonstrate image classification with a high success rate exceeding 98%,through successive gate operations and projective *** we work with photons,our approach is amenable to other physical realizations such as nitrogen-vacancy centers,nuclear spins,and trapped ions,and our scheme can be scaled to efficient multi-qubit encodings of features in the tensor-product representation,thereby setting the stage for quantum-enhanced multi-class classification.

关键词： tensor quantum realization

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基于改进R-FCN的SAR图像识别

系统工程与电子技术 2022年第4期44卷 1202-1209页

作者：周晓玲张朝霞鲁雅王倩王琨琨太原理工大学物理与光电工程学院山西太原030024

由于深度学习在目标识别方面取得了显著的成绩,为提高合成孔径雷达(synthetic aperture radar,SAR)图像目标识别的精度与速度提供了新的思路。本文将区域全卷积网络(region-based fully convolutional networks,R-FCN)结构应用于SAR图... 详细信息

由于深度学习在目标识别方面取得了显著的成绩,为提高合成孔径雷达(synthetic aperture radar,SAR)图像目标识别的精度与速度提供了新的思路。本文将区域全卷积网络(region-based fully convolutional networks,R-FCN)结构应用于SAR图像目标识别中,取得了良好的效果。对于数据集较小和数据相似度较高的问题,提出了基于迁移学习的R-FCN模型用于SAR图像目标识别。对更快的区域卷积神经网络(faster region convolutional neural networks,Faster R-CNN)和R-FCN进行模型训练及优化,并与所提出的基于迁移学习的改进R-FCN模型实验结果进行对比。结果表明,所提方法对SAR图像具有更好的识别效果和更快的识别速度。

关键词：机器视觉目标识别合成孔径雷达全卷积网络迁移学习

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An Anomaly Detection Method of Industrial Data Based on Stacking Integration

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Journal on Artificial Intelligence 2021年第1期3卷 9-19页

作者： kunkun wang Xianda Liu College of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang110159China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang110016China Shenyang Institute of Automation Chinese Academy of SciencesShenyang110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China

With the development of Internet technology,the computing power of data has increased,and the development of machine learning has become faster and *** the industrial production of industrial control systems,quality inspection and safety production of process products have always been our *** at the low accuracy of anomaly detection in process data in industrial control system,this paper proposes an anomaly detection method based on stacking integration using the machine learning *** are collected from the industrial site and processed by feature *** component analysis(PCA)and integrated rule tree method are adopted to reduce the dimension of the process data,which can restore the original feature information of the data to the maximum *** forest(RF),Adaboost,XGboost,SVM were selected as the first layer of basic *** regression(LR)was used as the secondary learner to build the exception detection model based on stacking integrated *** data was used to train the base learner model and the integrated *** comparing and analyzing the experimental results of between integrated model and each basic learning *** comparing and analyzing the experimental results of the constructed anomaly detection model and the basic learning model,the accuracy of process data anomaly detection is effectively improved,and the false alarm rate of process data anomaly detection is effectively reduced.

关键词： Industrial control system anomaly detection random forest SVM stacking