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Controlled Cyclic Remote state Preparation of Arbitrary Qubit states

Computers, Materials & Continua 2018年第5期55卷 321-329页

作者： Mingming Wang Chen Yang Reza Mousoli Shanxi Key Laboratory of Clothing Intelligence School of Computer ScienceXi’an Polytechnic UniversityXi’an 710048China State and Local Joint Engineering Research Center for Advanced Networking&Intelligent Information Services School of Computer ScienceXi’an Polytechnic UniversityXi’an 710048China School of Law Criminal Justice and ComputingCanterbury Christ Church UniversityCanterburyKentUK

Quantum secure communications could securely transmit quantum information by using quantum ***,novel applications such as bidirectional and asymmetric quantum protocols have been *** this paper,we propose a new method for generating entanglement which is highly useful for multiparty quantum communications such as teleportation and Remote state Preparation(RSP).As one of its applications,we propose a new type of quantum secure communications,*** RSP *** from a four-party controlled cyclic RSP protocol of one-qubit states,we show that this cyclic protocol can be generalized to a multiparty controlled cyclic RSP protocol for preparation of arbitrary qubit *** point out that previous bidirectional and asymmetric protocols can be regarded as a simpler form of our cyclic RSP protocols.

关键词： Quantum secure communications remote state preparation cyclic communications asymmetric communications bidirectional communications quantum control.

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Self-calibration of LHAASO-KM2A electromagnetic particle detectors using single particles within extensive air showers

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Physical Review D 2022年第12期106卷 122004-122004页

作者： F. Aharonian Q. An Axikegu L. X. Bai Y. X. Bai Y. W. Bao D. Bastieri X. J. Bi Y. J. Bi J. T. Cai Z. Cao J. Chang J. F. Chang E. S. Chen L. Chen M. J. Chen M. L. Chen Q. H. Chen S. H. Chen S. Z. Chen T. L. Chen Y. Chen H. L. Cheng N. Cheng Y. D. Cheng S. W. Cui X. H. Cui Y. D. Cui B. D’Ettorre Piazzoli B. Z. Dai H. L. Dai Z. G. Dai Danzengluobu D. della Volpe K. K. Duan J. H. Fan Y. Z. Fan Z. X. Fan J. Fang K. Fang C. F. Feng L. Feng S. H. Feng X. T. Feng Y. L. Feng B. Gao C. D. Gao L. Q. Gao Q. Gao W. Gao W. K. Gao M. M. Ge L. S. Geng G. H. Gong Q. B. Gou M. H. Gu F. L. Guo J. G. Guo X. L. Guo Y. Q. Guo Y. Y. Guo Y. A. Han H. H. He H. N. He S. L. He X. B. He Y. He M. Heller Y. K. Hor C. Hou X. Hou H. B. Hu Q. Hu S. Hu S. C. Hu X. J. Hu D. H. Huang W. H. Huang X. T. Huang X. Y. Huang Y. Huang Z. C. Huang X. L. Ji H. Y. Jia K. Jia K. Jiang Z. J. Jiang M. Jin M. M. Kang T. Ke D. Kuleshov K. Levochkin B. B. Li C. Li F. Li H. B. Li H. C. Li H. Y. Li J. Li K. Li W. L. Li X. R. Li X. Li Y. Z. Li Z. Li E. W. Liang Y. F. Liang S. J. Lin B. Liu C. Liu D. Liu H. Liu H. D. Liu J. Liu J. L. Liu J. S. Liu J. Y. Liu M. Y. Liu R. Y. Liu S. M. Liu W. Liu Y. Liu Y. N. Liu W. J. Long R. Lu Q. Luo H. K. Lv B. Q. Ma L. L. Ma X. H. Ma J. R. Mao A. Masood Z. Min W. Mitthumsiri Y. C. Nan Z. W. Ou B. Y. Pang P. Pattarakijwanich Z. Y. Pei M. Y. Qi Y. Q. Qi B. Q. Qiao J. J. Qin D. Ruffolo A. Sáiz C. Y. Shao L. Shao O. Shchegolev X. D. Sheng J. Y. Shi H. C. Song Yu. V. Stenkin V. Stepanov Y. Su Q. N. Sun X. N. Sun Z. B. Sun P. H. T. Tam Z. B. Tang W. W. Tian B. D. Wang C. Wang H. Wang H. G. Wang J. C. Wang J. S. Wang L. P. Wang L. Y. Wang R. Wang R. N. Wang W. Wang X. G. Wang X. Y. Wang Y. Wang Y. D. Wang Y. J. Wang Y. P. Wang Z. H. Wang Z. X. Wang Z. Wang D. M. Wei J. J. Wei Y. J. Wei T. Wen C. Y. Wu H. R. Wu S. Wu X. F. Wu Y. S. Wu S. Q. Xi J. Xia J. J. Xia G. M. Xiang D. X. Xiao G. Xiao G. G. Xin Y. L. Xin Y. Xing Z. Xiong D. L. Xu R. X. Xu L. Xue D. H. Yan J. Z. Yan C. W. Yang F. F. Yang H. W. Yang J. Y. Yang L. L. Yang M. J. Yang R. Z. Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 69029 Heidelberg Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China 230026 Hefei Anhui China School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University 610031 Chengdu Sichuan China College of Physics Sichuan University 610065 Chengdu Sichuan China Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences 100049 Beijing China TIANFU Cosmic Ray Research Center 610299 Chengdu Sichuan China School of Astronomy and Space Science Nanjing University 210023 Nanjing Jiangsu China Center for Astrophysics Guangzhou University 510006 Guangzhou Guangdong China University of Chinese Academy of Sciences 100049 Beijing China Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences 210023 Nanjing Jiangsu China Key Laboratory of Cosmic Rays (Tibet University) Ministry of Education 850000 Lhasa Tibet China National Astronomical Observatories Chinese Academy of Sciences 100101 Beijing China Hebei Normal University 050024 Shijiazhuang Hebei China School of Physics and Astronomy (Zhuhai) & School of Physics (Guangzhou) & Sino-French Institute of Nuclear Engineering and Technology (Zhuhai) Sun Yat-sen University 519000 Zhuhai & 510275 Guangzhou Guangdong China Dipartimento di Fisica dell’Università di Napoli “Federico II” Complesso Universitario di Monte Sant’Angelo via Cinthia 80126 Napoli Italy School of Physics and Astronomy Yunnan University 650091 Kunming Yunnan China Département de Physique Nucléaire et Corpusculaire Faculté de Sciences Université de Genève 24 Quai Ernest Ansermet 1211 Geneva Switzerland Institute of Frontier and Inte

In the Large High Altitude Air Shower Observatory (LHAASO), the square kilometer array, with 5249 electromagnetic particle detectors (EDs) and 1188 muon detectors, is deployed to explore the gamma-ray sources above 30 TeV with unprecedented sensitivity and to measure primary cosmic rays in the energy range from 10 TeV to 100 PeV. The energetic particles produced by extensive air showers can serve as a continuously available source for calibration of the numerous EDs over a large area. In this study, the detector untriggered probability is first proposed to estimate the particle density at different distances from the shower core and distinguish the characteristic single-particle signal detected by each ED. This method uses science data directly, and does not require prior knowledge of the cosmic-ray elemental composition or hadronic interaction model. Experimental results show that this self-calibration can be used to determine the number of particles detected by each ED with an accuracy better than 2% within a time scale of hours, which is adequate to meet the physics requirements of the LHAASO experiment. With this high efficiency and accuracy, this calibration also provides an ideal method to monitor the detector performance throughout an expected lifetime of >10 years.

关键词： Cosmic rays & astroparticles Astrophysical & cosmological simulations Cosmic ray & astroparticle detectors Monte Carlo methods Probability theory Scintillators

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Design and Implementation of Variable Precision Algorithm for Transcendental Functions

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Journal of Physics: Conference Series 2019年第1期1325卷

作者： Hao Jiangwei Xu Jinchen Guo Shaozhong Xia Yuanyuan Liu Dan State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

Mathematical function is an essential part of numerical program, and it is also the key factor that affects the precision and performance of a program. In the design of mathematical functions, in order to satisfy most application scenarios, it is necessary to correctly round and cover the calculated interval as much as possible. But in certain applications, correct rounding and full coverage of definition domain may not be required. Therefore, mathematical functions can be customized according to application requirements to avoid precision waste as well as improve performance. However, manually implementing mathematical functions is a time-consuming and error-prone task. Tools like Metalibm is designed to automatically generate mathematical function code, which is difficult to take advantage of all the mathematical properties of a function and results in the generated code performing slowly than the corresponding mathematical library function. A method of generating variable precision code based on mathematical properties is proposed for the transcendental function in this work. Experiments showed the performance of the proposed method is comparable to Glibc mathematical function.

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A practical and aggressive loop fission technique 18th

A practical and aggressive loop fission technique

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18th International Conference on Algorithms and Architectures for Parallel Processing - ICA3PP 2018 Collocated Workshops: ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems, IALCOP 2018, ICA3PP 2018 Workshop on Security and Privacy in Data Processing, SPDP 2018

作者： Zhao, Bo Li, Yingying Han, Lin Zhao, Jie Gao, Wei Zhao, Rongcai Yahyapour, Ramin Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen Göttingen37077 Germany State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China French Institute for Research in Computer Science and Automation Rocquencourt France

ISBN: (纸本)9783030052331

Loop fission is an effective loop optimization for exploiting fine-grained parallelism. Currently, loop fission is widely used in existing parallelizing compilers. To fully exploit the optimization, we proposed and implemented a practical and aggressive loop fission technique. First, we present an aggressive dependence graph pruning method to eliminate pseudo dependences caused by the conservativeness of compilers. Second, we introduce a topological sort based loop fission algorithm to distribute loops correctly. Finally, to enhance the performance of the generated programs which have potential of loop fission, we propose an advanced loop fission strategy. We evaluate these techniques and algorithms in the experimental section. © Springer Nature Switzerland AG 2018.

关键词： Program compilers

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Analysis of cryptosystem recognition scheme based on Euclidean distance feature extraction in three machine learning classifiers

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Journal of Physics: Conference Series 2019年第1期1314卷

作者： SiJie Fan YaQun Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing 450001 China State Key Laboratory of Cryptography and Science 450001 China

In reality, many cryptographic analysis techniques are based on a specific cryptographic system or a large number of encrypted ciphertext. The identification and detection of cryptographic system is of great significance for evaluating the security of the algorithm and guiding the design and improvement of the algorithm. In this paper, we transcode each character in ciphertext into a decimal number, construct these numbers into one-dimensional arrays, and obtain the Euclidean distance between these one-dimensional arrays. Then we use these distances as features and input them into three machine learning classifiers: random forest, logistic regression and support vector machine to recognize cryptosystem and compare their recognition accuracy. The subjects include 8 common block ciphers (DES, 3DES, AES-128, AES-256, IDEA, SMS4, Blowfish, Camellia-128). The experimental results show that using the feature extraction scheme not only shortens the experimental time, reduces the computational cost, but also improves the recognition accuracy of eight typical block cipher algorithms. The classification accuracy of the ECB mode in the random forest classifier is 75%, which is higher than the existing published literature experimental results. The classification accuracy rate of CBC mode is higher than 13.5%, which is higher than the accuracy of random classification.

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Impact of temperature and relative humidity on the transmission of COVID-19: A modeling study in China and the United states

arXiv

引用

arXiv 2020年

作者： Wang, Jingyuan Tang, Ke Feng, Kai Lin, Xin Lv, Weifeng Chen, Kun Wang, Fei School of Computer Science and Engineering Beihang University China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University China School of Social Sciences Tsinghua University China State Key Laboratory of Software Development Environment Beihang University China Department of Statistics University of Connecticut United States Center for Population Health University of Connecticut Health Center United States Department of Population Health Sciences Weill Cornell Medical College Cornell University United States

Objectives We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status, and human mobility status. Design A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. Setting We use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1,005 U.S. counties. Participants A total of 69,498 cases in China and 740,843 cases in the U.S. are used for calculating the effective reproductive numbers. Primary outcome measures Regression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value). Results Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the U.S. Conclusions Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature by 1 degree Celsius is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI [-0.0395,-0.0125]) in China and by 0.020 (95% CI [-0.0311, -0.0096]) in the U.S.;an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI [-0.0108,-0.0045]) in China and by 0.0080 (95% CI [-0.0150,-0.0010]) in the U.S. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic. Copyright © 2020, The Authors. All rights reserved.

关键词： Regression analysis

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Effect of Oxygen Interstitial Ordering on Multiple Order Parameters in Rare Earth Ferrite

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Physical Review Letters 2019年第24期123卷 247601-247601页

作者： Yang Zhang Wenbin Wang Wandong Xing Shaobo Cheng Shiqing Deng Manuel Angst Chu-Ping Yu Fanli Lan Zhiying Cheng David Mandrus Brian Sales Jian Shen Xiaoyan Zhong Nyan-Hwa Tai Rong Yu Jing Zhu National Center for Electron Microscopy in Beijing Key Laboratory of Advanced Materials (MOE) The State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 People’s Republic of China Institute of Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China Jülich Centre for Neutron Science JCNS and Peter Grünberg Institut PGI JARA-FIT Forschungszentrum Jülich GmbH 52425 Jülich Germany Department of Materials Science and Engineering National Tsing-Hua University Hsinchu 30013 Taiwan State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA

Oxygen interstitials and vacancies play a key role in modulating the microstructure and properties of nonstoichiometric oxide systems, such as those used for superconductors and multiferroics. key to understanding the tuning mechanisms resulting from oxygen doping is a knowledge of the precise positions of these lattice defects, and of the interaction both between these defects and with many order parameters. Here, we report how such information can, for the first time, be obtained from a sample of LuFe2O4.22 using a range of techniques including advanced electron microscopy, atomic-resolution spectroscopy, and density functional theory calculations. The results provide quantitative atomic details of the crystal unit cell, together with a description of the ferroelastic, ferroelectric, and ferromagnetic order parameters. We elucidate also the interaction between these order parameters and the positions of the oxygen interstitials in the oxygen-enriched sample. The comprehensive analysis of oxygen interstitial ordering provides insights into understanding the coupling among different degrees of freedom in rare earth ferrites and demonstrates that oxygen content regulation is a powerful tool for tuning the microstructure and properties for this class of quantum material.

关键词： Dopants Interstitials Microstructure Order parameters Ferrites Multiferroics Density functional theory Electron diffraction High-resolution electron energy loss spectroscopy High-resolution transmission electron microscopy Scanning transmission electron microscopy

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An anti-side-channel virtual CPU scheduling algorithm based on leakage evaluation for virtual machine security 7

An anti-side-channel virtual CPU scheduling algorithm based ...

引用

2017 7th International Workshop on Computer Science and engineering, WCSE 2017

作者： Du, Yuanzhi Du, Xuehui Yang, Zhi State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9789811136719

Infrastructure as a service (IaaS) which is one of the cloud computing's service modes provides virtual machines to clients via shared physical machines. This Service provides convenience for many enterprises, but also introduces new security threats. Many studies have shown that the co-residency side-channel can be used to extract sensitive information by malicious users. Remarkably, Soo-Jin has present a migration-based system called Nomad to mitigating known and future side-channel which is more universal than the traditional method. However, large scale migration will lead to huge network overheads. To solve the above problems, the characteristics of co-residency side-channel on the single physical server is analyzed, based on which two virtual machine schedule algorithms according the leakage model in Nomad were proposed. The simulation results show that the algorithm can mitigate the threats effectively.

关键词： Virtual machine

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A Gene-Inspired Malware Detection Approach

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Journal of Physics: Conference Series 2019年第6期1168卷

作者： Yihang Chen Zheng Shan Fudong Liu Guanghui Liang Binglin Zhao Xingwei Li Meng Qiao State Key of Laboratory of Mathematical Engineering and Advanced Computing 450001 Zhengzhou Henan China

Malware detection is an important topic in cyber security. The research presented in this paper mainly studies on disassembly codes of Windows executable files, learns from the research route of bioinformatics and proposes the concept of software gene. A distance-based method is also proposed to measure the difference of genes and the dimensionality reduction based on a modified clustering algorithm of biological phylogenetic model. Finally a gene-inspired malware detector is constructed using Random Forest model. The software gene extraction proposed in this paper is more flexible and generates less data than the widely-used n-gram method. The detector based on genes also performs better. The clustering-based dimensionality reduction retains more comprehensive features and maintains the interpretability in software analysis area. The detector based on gene-inspired malware detection approach can reach the precision 96.14%, which is better than traditional methods.

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A Parallel Probabilistic Approach to Factorize a Semiprime

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American Journal of Computational Mathematics 2018年第2期8卷 175-183页

作者： Jianhui Li Department of Computer Science Guangdong Neusoft Institute Foshan City Foshan China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

In accordance with the distributive traits of semiprimes’ divisors, the article proposes an approach that can find out the small divisor of a semiprime by parallel computing. The approach incorporates a deterministic search with a probabilistic search, requires less memory and can be implemented on ordinary multicore computers. Experiments show that certain semiprimes of 27 to 46 decimal-bits can be validly factorized with the approach on personal computer in expected time.

关键词： Parallel Probabilistic Integer Factorization Semiprime

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