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2020 Frontiers in Optics Conference, FiO 2020

作者： Xiao, Xiao-Qi Matekole, Elisha S. Zhao, Jiankang Zeng, Guihua Dowling, Jonathan P. Lee, Hwang Department of Communication Engineering Shanghai Dianji University Shanghai200240 China Hearne Institute for Theoretical Physics Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States State Key Laboratory of Advanced Optical Communication Systems and Networks Institute of Sensing and Navigation Department of Electronic Engineering Shanghai Jiaotong University Shanghai200030 China National Institute of Information and Communications Technology Tokyo184-8795 Japan NYU-ECNU Institute of Physics NYU Shanghai Shanghai200062 China CAS-Alibaba Quantum Computing Laboratory USTC Shanghai201315 China

ISBN: (纸本)9781943580804

We propose a new gyroscope scheme with a two-mode squeezed coherent light as the source. With the intensity-difference measurement, the phase sensitivity is better than the shot-noise limit, and can saturate the Crámer-Rao Bound. The loss inside the gyroscope can be compensated by adjusting the squeezing parameters. © OSA 2020 © 2020 The Author(s)

关键词： Shot noise

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Factorization of odd integers as lattice search procedure 1

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9th International Symposium on Intelligence Computation and Applications, ISICA 2017

作者： Wang, Xingbo Foshan University Foshan CityGuangdong Province528000 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (数字)9789811316517

ISBN: (纸本)9789811316500

The article puts forward a 3-dimensional searching approach that can factorize odd composite integers. The article first proves that, an odd composite number can be expressed by a trivariate function, then demonstrates that factorization of an odd integer can be turned into a problem of searching a point in a 3-dimensional cube whose points can be searched rapidly via octree search algorithm or other 3-dimensional searching algorithm. mathematical principles with their proofs are presented in detail, and an algorithm that reaches square of logarithm time-complexity is proposed with numerical examples. The proposed algorithm can be applied both in sequential computation and parallel computation. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Factorization

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Spin-induced orbital frustration in a hexagonal optical lattice

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Physical Review Research 2021年第3期3卷 033274-033274页

作者： Yongqiang Li Jianmin Yuan Xiaoji Zhou Xiaopeng Li Department of Physics National University of Defense Technology Changsha 410073 People's Republic of China Department of Physics Graduate School of China Academy of Engineering Physics Beijing 100193 People's Republic of China State Key Laboratory of Advanced Optical Communication System and Network Department of Electronics Peking University Beijing 100871 People's Republic of China State Key Laboratory of Surface Physics Institute of Nanoelectronics and Quantum Computing and Department of Physics Fudan University Shanghai 200438 People's Republic of China Shanghai Qi Zhi Institute AI Tower Xuhui District Shanghai 200232 People's Republic of China

Complex lattices provide a versatile ground for fascinating quantum many-body physics. Here, we propose an exotic mechanics for generating orbital frustration in hexagonal lattices. We study two-component (pseudospin-12) Bose gases in p-orbital bands of two-dimensional hexagonal lattices, and find that the system exhibits previously untouched orbital frustration as a result of the interplay of spin and orbital degrees of freedom, in contrast to normal Ising-type orbital ordering of spinless p-orbital band bosons in two-dimensional hexagonal lattices. Based on the classification by symmetry analysis, we find the interplay of orbital frustration and strong interaction leads to exotic Mott and superfluid phases with spin-orbital intertwined orders, in spite of the complete absence of spin-orbital interaction in the Hamiltonian. Our study implies many-body correlations in a multiorbital setting could induce rich spin-orbital intertwined physics in complex lattice structures.

关键词： Bose-Einstein condensates Cold gases in optical lattices Exotic phases of matter Quantum phase transitions Dynamical mean field theory

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A multi-cubic-kilometre neutrino telescope in the western Pacific Ocean

arXiv

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arXiv 2022年

作者： Ye, Z.P. Hu, F. Tian, W. Chang, Q.C. Chang, Y.L. Cheng, Z.S. Gao, J. Ge, T. Gong, G.H. Guo, J. Guo, X.X. He, X.G. Huang, J.T. Jiang, K. Jiang, P.K. Jing, Y.P. Li, H.L. Li, J.L. Li, L. Li, W.L. Li, Z. Liao, N.Y. Lin, Q. Lin, J. Liu, F. Liu, J.L. Liu, X.H. Miao, P. Mo, C. Morton-Blake, I. Peng, T. Sun, Z.Y. Tang, J.N. Tang, Z.B. Tao, C.H. Tian, X.L. Wang, M.X. Wang, Y. Wang, Y. Wei, H.D. Wei, Z.Y. Wu, W.H. Xian, S.S. Xiang, D. Xu, D.L. Xue, Q. Yang, J.H. Yang, J.M. Yu, W.B. Zeng, C. Zhang, F.Y.D. Zhang, T. Zhang, X.T. Zhang, Y.Y. Zhi, W. Zhong, Y.S. Zhou, M. Zhu, X.H. Zhuang, G.J. Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China School of Physics and Astronomy Shanghai Jiao Tong University MOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China Department of Astronomy School of Physics Peking University Being 100871 China State Key Laboratory of Ocean Engineering School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sanya Yazhou Bay Institute of Deep Sea Technology Sanya572024 China Center for High Energy Physics Peking University Beijing100871 China Department of Engineering Physics Tsinghua University Beijing100084 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Shanghai Key Lab of Electrical Insulation and Thermal Aging School of Chemistry and Chemical Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Marine Ecosystem Dynamics Second Institute of Oceanography MNR Hangzhou310012 China Kavli Institute for Astronomy and Astrophysics Peking University Bejing100871 China Center for High Performance Computing Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China School of Oceanography Shanghai Jiao Tong University Shanghai200030 China Key Laboratory of Submarine Geosciences Second Institute of Oceanography MNR Hangzhou310012 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China MOE Key Laboratory for Laser Plasmas School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Shanghai200240 China Zhangjiang Institute for Advanced Study

Next-generation neutrino telescopes with significantly improved sensitivity are required to pinpoint the sources of the diffuse astrophysical neutrino flux detected by IceCube and uncover the century-old puzzle of cosmic ray origins. A detector near the equator will provide a unique viewpoint of the neutrino sky, complementing IceCube and other neutrino telescopes in the Northern Hemisphere. Here we present results from an expedition to the north-eastern region of the South China Sea, in the western Pacific Ocean. A favorable neutrino telescope site was found on an abyssal plain at a depth of ∼ 3.5 km. At depths below 3 km, the sea current speed, water absorption and scattering lengths for Cherenkov light, were measured to be vc © 2022, CC BY-NC-ND.

关键词： Cosmic rays

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Influences of the dissipative topological edge state on quantized transport in MnBi2Te4

arXiv

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arXiv 2022年

作者： Lin, Weiyan Feng, Yang Wang, Yongchao Lian, Zichen Li, Hao Wu, Yang Liu, Chang Wang, Yihua Zhang, Jinsong Wang, Yayu Zhou, Xiaodong Shen, Jian State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai China Department of Physics Fudan University Shanghai China State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Beijing China Beijing Innovation Center for Future Chips Tsinghua University Beijing China School of Materials Science and Engineering Tsinghua University Beijing China Tsinghua-Foxconn Nanotechnology Research Center Department of Physics Tsinghua University Beijing China Department of Mechanical Engineering Tsinghua University Beijing China Beijing Academy of Quantum Information Science Beijing China Shanghai Research Center for Quantum Sciences Shanghai China Frontier Science Center for Quantum Information Beijing China Collaborative Innovation Center of Advanced Microstructures Nanjing China Shanghai Qi Zhi Institute Shanghai China Zhangjiang Fudan International Innovation Center Fudan University Shanghai China

The beauty of quantum Hall (QH) effect is the metrological precision of Hall resistance quantization that originates from the topological edge states. Understanding the factors that lead to quantization breakdown not only provides important insights on the nature of the topological protection of these edge states, but is beneficial for device applications involving such quantized transport. In this work, we combine conventional transport and real space conductivity mapping to investigate whether the quantization breakdown is tied to the disappearance of edge state in the hotly studied MnBi2Te4system. Our experimental results unambiguously show that topological edge state does exist when quantization breakdown occurs. Such edge state is dissipative in nature and could lead to a quantization breakdown due to its diffusive character causing overlapping with bulk and other edge states in real devices. Our findings bring attentions to issues that are generally inaccessible in the transport study of QH, but can play important roles in practical measurements and device applications. © 2022, CC BY-NC-SA.

关键词： Topology

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Matrix Classifier On Dynamic Functional Connectivity For Mci Identification

Matrix Classifier On Dynamic Functional Connectivity For Mci...

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IEEE International Conference on Image Processing

作者： Lei Zhou Liang Zhang Xiao Bai Jun Zhou School of Computer Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing State Key Laboratory of Software Development Environment Beihang University Beijing School of Information and Communication Technology Griffith University Nathan

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

One of the most popular method for Alzheimer's disease (AD) diagnosis is exploring the Brain functional connectivity (FC) from resting-state functional magnetic resonance imaging (RS-fMRI). To early prevent AD, it is crucial to distinguish AD and and its preclinical stage, mild cognitive impairment (MCI) and early MCI (eMCI). In many existing works, dynamic functional connectivity (dFC) which contains rich spatiotemporal information has been exploited for the MCI and eMCI identification. However, most of these dFC based methods only consider the correlation between discrete brain status while ignore the valuable spatiotemporal information contained in dFC. To overcome this limitation, we propose a matrix classifier based method on the dFC signal for MCI and eMCI identification. Specifically, we first represent the dFC correlations by matrix features which contain rich spatiotemporal information and then learn the support matrix machines (SMM) to classify AD and its preclinical stage. Experiments on 600 real people data provide by the Alzheimer's Disease Neuroimaging Initiative (ADNI) demonstrate that our proposed matrix classifier based method outperforms other FC and dFC based methods for both normal controls (NC)/MCI identification and NC/eMCI identification.

关键词： Feature extraction Correlation Dementia Microsoft Windows Spatiotemporal phenomena Training

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Modeling of metal nanoparticles: Development of neural-network interatomic potential inspired by features of the modified embedded-atom method

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Physical Review B 2020年第14期102卷 144107-144107页

作者： Feifeng Wu Hang Min Yanwei Wen Rong Chen Yunkun Zhao Mike Ford Bin Shan State Key Laboratory of Material Processing and Die and Mould Technology and School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 People's Republic of China State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei People's Republic of China State Key Laboratory of Advanced Technologies for Comprehensive Utilization of Platinum Metal Kunming Institute of Precious Metals Kunming 650106 Yunnan People's Republic of China School of Mathematical and Physical Sciences University of Technology Sydney Ultimo Sydney New South Wales 2007 Australia

Interatomic potential plays a key role in ensuring the accuracy and reliability of molecular-dynamics simulation results. While most empirical potentials are benchmarked against a set of carefully chosen bulk material properties, recent advances in machine learning have seen the emergence of neural-network-based mathematical potentials capable of describing highly complex potential energy surfaces for a variety of systems. We report here the development of a neural-network interatomic potential (NNIP) with modified embedded-atom method background density as fingerprint functions, which could accurately model the energetics of metallic nanoparticles and clusters (Cu as a representative example) widely used in catalysis. To appropriately account for the diverse chemical environments encountered in nanoparticles/nanoclusters, an extensive set of atomic configurations (totaling 18 084) were calculated using density-functional-theory (DFT) at the Perdew-Burke-Ernzerhof level. In addition to standard bulk properties such as cohesive energies and elastic constants, the sampled configurations also include a substantial number of differently oriented crystal facets and differently sized nanoparticles and nanoclusters, greatly expanding the value range of NNIP features that was otherwise quite limited. The complex energy potential surface of Cu can be faithfully reproduced, with an average error of 0.011 eV/at for energy states within 3 eV of the ground state. As an illustration, the developed NNIP is used to simulate the molecular dynamics of copper nanoparticles, and good agreement is achieved between DFT and the NNIP.

关键词： Interatomic & molecular potentials Artificial neural networks Nanoparticles

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Directer: A parallel and directed fuzzing based on concolic execution 18

Directer: A parallel and directed fuzzing based on concolic ...

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7th International Conference on Software and Information engineering, ICSIE 2018

作者： Song, Xiaobin Wu, Zehui Wang, Yunchao State Key Laboratory of Mathematical Engineering and Advanced Computing Malaysia China National Digital Switching System Engineering and Technological Research Center Zhengzhou China

ISBN: (纸本)9781450364690

Fuzzing is a widely used technology to find vulnerabilities, but the current technology is mostly based on coverage and there are relatively few research in the field of directed fuzzing. In this paper, a parallelized testing technique combining directed fuzzing and concolic execution will be proposed. It extracts path space within the level of basic block in the function call chain through the program control flow analysis and function call relationship. Concolic execution is used to implement the target reachable paths guidance, in order to achieve the goal of rapid arrival. In the experimental stage, the developed Directer was used to test on LAVA dataset, which shows better performance than the existing fuzzers. © 2018 Association for computing Machinery.

关键词： Statistical tests

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A Dual-Watermarking Scheme Robust to Affine Transformation

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Journal of Physics: Conference Series 2021年第1期1856卷

作者： Feng Liu State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou City Henan Province 450000 China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou City Henan Province 450000 China

This paper proposes a robust watermarking algorithm based on dual watermarking and robust affine transformation. First, the color image is divided into three channels, feature point extraction, watermark embedding, and location watermark extraction will be performed respectively. Feature points are used for image reconstruction when extracting watermarks. The watermark embedding needs to select a square area not at the edge of the image as the watermark embedding position, and then embed the watermark in the frequency domain of the corresponding area. According to the watermark embedding position, extract the zero watermark in another channel as the location watermark. Because the zero watermark does not modify the original image information, it has good robustness and can assist the attacked image to locate the watermark embedding position.

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Unconditionally optimal convergence of an energy-conserving and linearly implicit scheme for nonlinear wave equations

arXiv

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arXiv 2021年

作者： Cao, Waixiang Li, Dongfang Zhang, Zhimin School of Mathematical Sciences Beijing Normal University Beijing100875 China School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China Beijing Computational Science Research Center Beijing100193 China Department of Mathematics Wayne State University DetroitMI48202 United States

In this paper, we present and analyze an energy-conserving and linearly implicit scheme for solving the nonlinear wave equations. Optimal error estimates in time and superconvergent error estimates in space are established without time-step dependent on the spatial mesh size. The key is to estimate directly the solution bounds in the H2-norm for both the nonlinear wave equation and the corresponding fully discrete scheme, while the previous investigations rely on the temporal-spatial error splitting approach. Numerical examples are presented to confirm energy-conserving properties, unconditional convergence, and optimal error estimates, respectively, of the proposed fully discrete *** Codes 65M60, 65M12, 65N12 © 2021, CC0.

关键词： Wave equations

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