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No-go theorem for one-way quantum computing on naturally occurring two-level systems

Physical Review A 2011年第5期83卷 050301(R)-050301(R)页

作者： Jianxin Chen Xie Chen Runyao Duan Zhengfeng Ji Bei Zeng Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts USA Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology University of Technology Sydney New South Wales Australia Perimeter Institute for Theoretical Physics Waterloo Ontario Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Institute for Quantum Computing and Department of Combinatorics and Optimization University of Waterloo Waterloo Ontario Canada

The ground states of some many-body quantum systems can serve as resource states for the one-way quantum computing model, achieving the full power of quantum computation. Such resource states are found, for example, in spin-52 and spin-32 systems. It is, of course, desirable to have a natural resource state in a spin-12, that is, qubit system. Here, we give a negative answer to this question for frustration-free systems with two-body interactions. In fact, it is shown to be impossible for any genuinely entangled qubit state to be a nondegenerate ground state of any two-body frustration-free Hamiltonian. What is more, we also prove that every spin-12 frustration-free Hamiltonian with two-body interaction always has a ground state that is a product of single- or two-qubit states. In other words, there cannot be any interesting entanglement features in the ground state of such a qubit Hamiltonian.

关键词： QUANTUM computers QUANTUM theory HAMILTONIAN operator HAMILTONIAN systems PHYSICS

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A FUZZY IDENTIFICATION METHOD OF CONTOURS BASED ON CHAIN-CODE FEATURES

A FUZZY IDENTIFICATION METHOD OF CONTOURS BASED ON CHAIN-COD...

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第三届全国智能视觉监控学术会议

作者： Qi Dong Guangping Xu Liu Jing Yanbing Xue Hua Zhang Key Laboratory of Intelligence Computing and New Software Technology TianjinChina300384 Key Laboratory of Computer Vision and SystemMinistry of EducationTianjinChina300384 School of Computer and CommunicationTianjin University of TechnologyTianjinChina300384

ISBN: (纸本)9781457718342

The contour analysis and identification are the important aspects in visual surveillance *** paper proposes a fuzzy identification method of ***,according to the description of a contour based on the chain-code method,the proposed method utilizes the statistical features of contours including the chain-code entropy and chain-code space distribution entropies,from which the feature vector of a contour is ***,the method generates the contour pattern from some contour samples and uses the approaching principle to identify a *** our method integrates effectively multiple statistical feathers of its chain-code and employs a fuzzy pattern recognition technique,the experiments show quantitatively that it can achieve good results from various metrics.

关键词： Image Contour Fuzzy Pattern Chain Code Object Recognition

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A fuzzy identification method of contours based on chain-code features

A fuzzy identification method of contours based on chain-cod...

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2011 3rd Chinese Conference on intelligent Visual Surveillance, IVS 2011

作者： Dong, Qi Xu, Guangping Jing, Liu Xue, Yanbing Zhang, Hua Key Laboratory of Intelligence Computing and New Software Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin 300384 China School of Computer and Communication Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9781457718311

The contour analysis and identification are the important aspects in visual surveillance research. The paper proposes a fuzzy identification method of contours. First, according to the description of a contour based on the chain-code method, the proposed method utilizes the statistical features of contours including the chain-code entropy and chain-code space distribution entropies, from which the feature vector of a contour is composed. Then, the method generates the contour pattern from some contour samples and uses the approaching principle to identify a contour. Since our method integrates effectively multiple statistical feathers of its chain-code and employs a fuzzy pattern recognition technique, the experiments show quantitatively that it can achieve good results from various metrics. © 2011 IEEE.

关键词： Object recognition

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An sir epidemic model with cleared state in complex networks

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ICIC Express Letters 2011年第9 A期5卷 3053-3058页

作者： Xia, Chengyi Liu, Zichao Sun, Shiwen Wang, Li Chen, Zengqiang Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology No. 391 Bingshui West Road Xiqing District Tianjin 300384 China Key Laboratory of Computer Vision and System of Ministry of Education Tianjin University of Technology No. 391 Bingshui West Road Xiqing District Tianjin 300384 China Department of Automation Nankai University No. 94 Weijin Road Nankai District Tianjin 300071 China

Based on the susceptible-infective-removed (SIR) compartmental model and real conditions of computer virus outbreaks, we present a new epidemic model with cleared or repair state to investigate epidemic spreading behaviors in complex networks, in which the infective individuals can be cured, cleared or repaired. The mean-field analysis and numerical simulations both indicate that the critical threshold of infection can be greatly enlarged in heterogeneous and homogeneous networks, and that the more time can be allowed to stop the epidemic outbreaks. The current results are beneficial for us to design some feasible containment strategies and better improve the public health. © ICIC International 2011.

关键词： Complex networks

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Employee performance assessment of state-owned enterprise based on super-efficient DEA model

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ICIC Express Letters 2011年第1期5卷 107-112页

作者： Bai, Chengcheng Ma, Junhai Xia, Chengyi School of Management Tianjin University No. 92 Weijin Road Nankai District Tianjin 300072 China Shandong Luhua Energy Group No. 17 Quancheng Road Jinan 250011 China Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology No. 263 Red flag south Road Nankai District Tianjin 300191 China

Assessment of employee performance lays the foundation for enterprises to motivate their employees and work out compensation allocation schemes, so how to evaluate employee performance objectively and scientifically becomes significant for the development of enterprises. Based on the characteristics of employee performance of state-owned enterprises, we design an assessment indicator system of employee performance for state-owned enterprises. By establishing CCR-DEA model and super-efficient DEA model of employee performance assessment, we make an evaluation of 16 employees working in the same department of a state-owned enterprise. The results show that the model we have established can not only make rational evaluation, but also can provide the orientation and degree to improve employee performance. © 2011 ISSN.

关键词： Personnel

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Study on the classification of multi-spectral images based on a FSVM multi-class classifier with the binary tree

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Optoelectronics Letters 2010年第1期6卷 61-64页

作者：王怀彬马京华王春东 Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology and Key Laboratory of Computer Visionand System Ministry of EducationTianjin University of Technology

Due to the features of the multi-spectral images, the result with the usual methods based on the support vector machine (SVM) and binary tree is not satisfactory. In this paper, a fuzzy SVM multi-class classifier with the binary tree is proposed for the classification of multi-spectral images. The experiment is conducted on a multi-spectral image with 6 bands which contains three classes of terrains. The experimental results show that this method can improve the segmentation accuracy.

关键词：模糊支持向量机多光谱图像树分类器常用方法二叉树 SVM 实验分割

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Research on adaptive strategy for end-hopping system

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Tongxin Xuebao/Journal on Communications 2011年第11 A期32卷 51-57页

作者： Zhao, Chun-Lei Jia, Chun-Fu Weng, Chen Lin, Kai College of Information Technical Science Nankai University Tianjin 300071 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

An adaptive strategy was proposed for EH system. Modules of attack detection, feedback transmission and adaptive control were added to original EH system. They could help to make threats analysis and adjust hopping strategy in real time, so as to reduce the probability of the system stepping into the attackers' target area. With the experiments proving the anti-attack ability of the prototype system, the feasibility and effectiveness of adaptive strategy were demonstrated for EH system.

关键词： Network security

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Dai, Min Hu, Su-Rui Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9781424459612

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the serious problems in the spike sorting of multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapped signals and separate spikes within the same RBF network. A modified radial basis function based on Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulation data coming from the University of Leicester. Experiment results show that our method successfully resolves the fully overlapping problem and has better accuracy comparing with the Gaussian function. © 2010 IEEE.

关键词： Radial basis function networks

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The detection of IRC botnet based on abnormal behavior

The detection of IRC botnet based on abnormal behavior

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2010 2nd International Conference on MultiMedia and Information technology, MMIT 2010

作者： Zilong, Wang Jinsong, Wang Wenyi, Huang Chengyi, Xia Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769540085

Botnet is one of the major security threats to Internet. In this paper, botnet communication and attack patterns were introduced, and the discovery method of botnet based on abnormal behavior was studied. For the current botnet, mainly based on IRC protocol, an automatic identification system is designed to help analyze and dispose botnet effectively. © 2010 IEEE.

关键词： Network security

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A new clustering classification approach based on FCR

A new clustering classification approach based on FCR

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Zhang, De-Gan Liu, Weiwei Kang, Xuejing Chen, Ying Dai, Wenbo Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459346

A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering classification is to determine a certain fuzzy sample classification in given limited sample space. Another is its validity, that is to say, if the sample is resemble in sample space, its fuzzy type will be resemble too. In our research, firstly, using triangle arithmetic operator and triangle transference, we extend fuzzy equivalence relationship to fuzzy closeness relationship, and cluster. Secondly, importing fuzzy coverage based on fuzzy closeness relationship, we judge resemble type of resemble sample. Thirdly, we introduce the clustering classification method based on fuzzy closeness relationship and fuzzy coverage. The method can overcome information more loss in fuzzy equivalence. Finally, we test its feasibility. The approach is applied to knowledge discovery for risk prediction of electronic commerce market, good result has been gotten. ©2010 IEEE.

关键词： Fuzzy clustering

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