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arXiv 2018年

作者： Chen, Yao Xia, Weiguo Cao, Ming Lü, Jinhu Department of Computer Science Southwestern University of Finance and Economics Chengdu611130 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China Faculty of Science and Engineering ENTEG University of Groningen Groningen9747 AG Netherlands School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

Distributed coordination algorithms (DCA) carry out information processing processes among a group of networked agents without centralized information fusion. Though it is well known that DCA characterized by an SIA (stochastic, indecomposable, aperiodic) matrix generate consensus asymptotically via synchronous iterations, the dynamics of DCA with asynchronous iterations have not been studied extensively, especially when viewed as stochastic processes. This paper aims to show that for any given irreducible stochastic matrix, even non-SIA, the corresponding DCA lead to consensus successfully via random asynchronous iterations under a wide range of conditions on the transition probability. Particularly, the transition probability is neither required to be independent and identically distributed, nor characterized by a Markov chain. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems

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Eavesdropper’s ability to attack a free-space quantum-key-distribution receiver in atmospheric turbulence

arXiv

引用

arXiv 2019年

作者： Chaiwongkhot, Poompong Kuntz, Katanya B. Zhang, Yanbao Huang, Anqi Bourgoin, Jean-Philippe Sajeed, Shihan Lütkenhaus, Norbert Jennewein, Thomas Makarov, Vadim Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada NTT Basic Research Laboratories NTT Corporation AtsugiKanagawa Japan NTT Research Center for Theoretical Quantum Physics NTT Corporation AtsugiKanagawa Japan Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Aegis Quantum WaterlooON Canada Department of Electrical and Computer Engineering University of Toronto M5S 3G4 Canada Quantum Information Science Program Canadian Institute for Advanced Research TorontoONM5G 1Z8 Canada Russian Quantum Center Skolkovo Moscow143025 Russia Shanghai Branch National Laboratory for Physical Sciences at Microscale and CAS Center for Excellence in Quantum Information University of Science and Technology of China Shanghai201315 China NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow119049 Russia

The ability of an eavesdropper (Eve) to perform an intercept-resend attack on a free-space quantum key distribution (QKD) receiver by precisely controlling the incidence angle of an attack laser has been previously demonstrated. However, such an attack could be ineffective in the presence of atmospheric turbulence due to beam wander and spatial mode aberrations induced by the air’s varying index of refraction. We experimentally investigate the impact turbulence has on Eve’s attack on a free-space polarization-encoding QKD receiver by emulating atmospheric turbulence with a spatial light modulator. Our results identify how well Eve would need to compensate for turbulence to perform a successful attack by either reducing her distance to the receiver, or using beam wavefront correction via adaptive optics. Furthermore, we use an entanglement-breaking scheme to find a theoretical limit on the turbulence strength that hinders Eve’s attack. Copyright © 2019, The Authors. All rights reserved.

关键词： Atmospheric turbulence

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Two-Step Fabrication of Li₄Ti₅O₁₂-Coated Carbon Nanofibers as a Flexible Film Electrode for High-Power Lithium-Ion Batteries

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ChemElectroChem 2017年第9期4卷 2286-2292页

作者： Zhang, Zhaobao Deng, Xiang Sunarso, Jaka Cai, Rui Chu, Shiyong Miao, Jie Zhou, Wei Shao, Zongping Jiangsu National Synergetic Innovation Center for Advanced Materials State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical Engineering Nanjing Tech University No.5 Xin Mofan Road Nanjing 210009 China College of Energy Nanjing Tech University No.5 Xin Mofan Road Nanjing 210009 China Department of Chemical Engineering Curtin University Perth 6845 WA Australia Faculty of Engineering Computing and Science Swinburne University of Technology Jalan Simpang Tiga Kuching Sarawak 93350 Malaysia

A self-standing nonwoven flexible Li4Ti5O12/carbon nanofiber composite (denoted LTO/CNF) was synthesized by using a facile method involving the electrospinning fabrication of CNFs and chemical deposition of LTO over t... 详细信息

A self-standing nonwoven flexible Li₄Ti₅O₁₂/carbon nanofiber composite (denoted LTO/CNF) was synthesized by using a facile method involving the electrospinning fabrication of CNFs and chemical deposition of LTO over the CNF surface. Scanning electron microscopy and transmission electron microscopy analyses show that the LTO/CNF film is composed of 50±20 nm diameter LTO polycrystalline particles distributed over 300±50 nm diameter CNF nanofibers. The nitrogen sorption isotherm further reveals the existence of mesopores in the LTO/CNF film. The as-prepared LTO/CNF composite exhibits attractive rate capability for lithium-ion batteries (LIBs), delivering initial specific capacities of 158, 153, 146, 138, 131, 122, and 109 mA h g⁻¹ at rates of 1, 5, 10, 20, 30, 40, and 50 C, respectively, and a very stable cycling performance during 500 charge and discharge cycles at 20 C, which superior to electrodes made of commercial coarse-type LTO anodes. In addition, the electrochemical impedance is effectively reduced by fabricating the unique electrode architecture, which originates from the improved 3D conducting network and the nanocrystalline size of the LTO active phase. Electrospinning of CNFs and chemical deposition of a nanocrystalline LTO phase proves to be an effective and facile method to develop anodes for flexible LIBs with a wide range of potential applications. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： electrospinning flexible electronics lithium titanate lithium-ion batteries self-standing electrode

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Overdue Prediction of Bank Loans Based on Deep Neural Network

Overdue Prediction of Bank Loans Based on Deep Neural Networ...

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2017 International Symposium on Computer Science and Artificial Intelligence（ISCSAI 2017）

作者： Li Xin Sun Guozi Li Huakang Jiangsu Key Lab of Big Data and Security and Intelligent Processing Nanjing University of Posts and Telecommunications Collaborative Innovation Center for Economics crime investigation and prevention technology State Key Laboratory of Mathematical Engineering and Advanced Computing

With the development of information technology, the application of big data in financial aspects becomes more and more deepening. However, in the aspect of bank loans, the accuracy of traditional user loan risk prediction models, such as KNN, Bayesian, are not benefit from the data *** paper proposes to use DNN algorithm to forecast the risk of user loan based on the difficulties of current overdue prediction and the excellent learning ability of DNN. This article uses user basic information, bank records, user browsing behavior, credit card billing records, and loan time information to evaluate whether users are delinquent. Firstly, this paper record bank records according to the transaction type, respectively, to generate income and spending data. Secondly, to sum the user browsing behavior also, and to record the average of credit card bill. In addition, in order to reduce the effect of eigenvalue size on the result, all characteristics are standardized. Finally, users who lack user information are discarded and the above fields are spliced. The spliced fields are the basic input for DNN. From the experimental results, DNN algorithm inc rease over 6% prediction than kNN, Bayes algorithm.

关键词： Overdue Prediction Bank Loans DNN

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Constructing PLC Binary Program Model for Detection Purposes

引用

Journal of Physics: Conference Series 2018年第2期1087卷

作者： Tianyou Chang Qiang Wei Yangyang Geng Hongwei Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450001 China The people's bank of china center branch of Zhoukou city Zhoukou Henan 466000 China

Programmable Logic Controller (PLC) programs are vulnerable to tampering attacks with addition of malware, which can substantially cause severe physical destructions. In order to solve the problems, We propose a static analysis method of Binary PLC programs for the detection of PLC malwares. Firstly, disassemble the binary program into STL program. Secondly, constructed the control flow graph of STL program according to the characteristics of STL language. Thirdly, generate the program execution paths according to traverse the control flow graph and analysis loop paths. Finally the PLC program output and input mapping relations are obtained based on the program execution paths. The experiment shows that the proposed method has achieved the analysis of PLC programs and get each path predicate and the mapping relation between output and input.

关键词：

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Rotation symmetry enforced coupling of spin and angular-momentum for p-orbital bosons

arXiv

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arXiv 2018年

作者： Li, Yongqiang Yuan, Jianmin Hemmerich, Andreas Li, Xiaopeng Department of Physics National University of Defense Technology Changsha410073 China Department of Physics Graduate School of China Academy of Engineering Physics Beijing100193 China Institut für Laser-Physik Universität Hamburg Luruper Chaussee 149 Hamburg22761 Germany State Key Laboratory of Surface Physics Institute of Nanoelectronics and Quantum Computing Department of Physics Fudan University Shanghai200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China

Intrinsic spin angular-momentum coupling of an electron has a relativistic quantum origin with the coupling arising from charged-orbits, which does not carry over to charge-neutral atoms. Here we propose a mechanism of spontaneous generation of spin angular-momentum coupling with spinor atomic bosons loaded into p-orbital bands of a two-dimensional optical-lattice. This spin angular-momentum coupling originates from many-body correlations and spontaneous symmetry breaking in a superfluid, with the key ingredients attributed to spin-channel quantum fluctuations and an approximate rotation symmetry. The resultant spin angular-momentum intertwined superfluid has Dirac excitations. In presence of a chemical potential difference for adjacent sites, it provides a bosonic analogue of a symmetry-protected-topological insulator. Through a dynamical mean-field calculation, this novel superfluid is found to be a generic low-temperature phase, and it gives way to Mott localization only at strong interactions and even-integer fillings. We show the temperature to reach this order is accessible with present experiments. Copyright © 2018, The Authors. All rights reserved.

关键词： Angular momentum

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Towards the manipulation of topological states of matter: A perspective from electron transport

arXiv

引用

arXiv 2018年

作者： Zhang, Cheng Lu, Hai-Zhou Shen, Shun-Qing Chen, Yong P. Xiu, Faxian State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China Institute for Quantum Science and Engineering Department of Physics South University of Science and Technology of China Shenzhen518055 China Shenzhen Key Laboratory of Quantum Science and Engineering Shenzhen518055 China Department of Physics University of Hong Kong Pokfulam Road Hong Kong Department of Physics and Astronomy Purdue University West LafayetteIN47907 United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China

The introduction of topological invariants, ranging from insulators to metals, has provided new insights into the traditional classification of electronic states in condensed matter physics. A sudden change in the topological invariant at the boundary of a topological nontrivial system leads to the formation of exotic surface states that are dramatically different from its bulk. In recent years, significant advancements in the exploration of the physical properties of these topological systems and regarding device research related to spintronics and quantum computation have been made. Here, we review the progress of the characterization and manipulation of topological phases from the electron transport perspective and also the intriguing chiral/Majorana states that stem from them. We then discuss the future directions of research into these topological states and their potential applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Electron transport properties

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Generalized Entanglement Entropies of Quantum Designs

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Physical Review Letters 2018年第13期120卷 130502-130502页

作者： Zi-Wen Liu Seth Lloyd Elton Yechao Zhu Huangjun Zhu Center for Theoretical Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Institute for Theoretical Physics University of Cologne 50937 Cologne Germany Department of Physics and Center for Field Theory and Particle Physics Fudan University Shanghai 200433 China Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China State Key Laboratory of Surface Physics Fudan University Shanghai 200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

The entanglement properties of random quantum states or dynamics are important to the study of a broad spectrum of disciplines of physics, ranging from quantum information to high energy and many-body physics. This Letter investigates the interplay between the degrees of entanglement and randomness in pure states and unitary channels. We reveal strong connections between designs (distributions of states or unitaries that match certain moments of the uniform Haar measure) and generalized entropies (entropic functions that depend on certain powers of the density operator), by showing that Rényi entanglement entropies averaged over designs of the same order are almost maximal. This strengthens the celebrated Page’s theorem. Moreover, we find that designs of an order that is logarithmic in the dimension maximize all Rényi entanglement entropies and so are completely random in terms of the entanglement spectrum. Our results relate the behaviors of Rényi entanglement entropies to the complexity of scrambling and quantum chaos in terms of the degree of randomness, and suggest a generalization of the fast scrambling conjecture.

关键词： Many-body localization Quantum cryptography Quantum entanglement Quantum gravity Random matrix theory

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LID-senone extraction via deep neural networks for end-to-end language identification

LID-senone extraction via deep neural networks for end-to-en...

引用

Speaker and Language Recognition Workshop, Odyssey 2016

作者： Jin, Ma Song, Yan McLoughlin, Ian Dai, Li-Rong Ye, Zhong-Fu National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China China School of Computing University of Kent Medway United Kingdom State Key Laboratory of Mathematical Engineering and Advanced Computing China

A key problem in spoken language identification (LID) is how to effectively model features from a given speech utterance. Recent techniques such as end-to-end schemes and deep neural networks (DNNs) utilising transfer learning such as bottleneck (BN) features, have demonstrated good overall performance, but have not addressed the extraction of LID-specific features. We thus propose a novel end-to-end neural network which aims to obtain effective LID-senone representations, which we define as being analogous to senones in speech recognition. We show that LID-senones combine a compact representation of the original acoustic feature space with a powerful descriptive and discriminative capability. Furthermore, a novel incremental training method is proposed to extract the weak language information buried in the acoustic features of insufficient language resources. Results on the six most confused languages in NIST LRE 2009 show good performance compared to state-of-the-art BN-GMM/i-vector and BN-DNN/i-vector systems. The proposed end-to-end network, coupled with an incremental training method which mitigates against over-fitting, has potential not just for LID, but also for other resource constrained tasks. © Odyssey 2016: Speaker and Language Recognition Workshop. All rights reserved.

关键词： Deep neural networks

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Matryoshka-caged gold nanorods： Synthesis, plasmonic properties, and catalytic activity

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Nano Research 2016年第2期9卷 415-423页

作者： Wei Xiong Debabrata Sikdar Lim Wei Yap Pengzhen Guo Malin Premaratne Xinyong Li Wenlong Cheng Department of Chemical Engineering Monash University Clayton VIC 3800 Australia The Melbourne Centre for Nanofabrication 151 Wellington Road Clayton VIC 3168 Australia Key Laboratory of Industrial Ecology and Environmental Engineering and State Key Laboratory of Fine Chemicals School of Environmental Sciences and Technology Dalian University of Technology Dalian 116024 China Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia

Matryoshka-caged gold nanorods （mCGNRs） were successfully synthesized by alternating between a seed-mediated silver-coating method and galvanic replacement reactions （GRRs）. As the number of matryoshka layers of the mCGNRs increased, the plasmon resonance peak broadened and was red-shifted, and the catalytic activity towards the reduction of 4-nitrophenol （4-NTP） increased. When mCGNRs with 6 layers were used as nanocatalysts in the reduction of 4-nitrophenol, the reaction rate coefficient was 5.2- and 3.7-times higher than that of the gold-nanorod- and caged-gold-nanorod-catalyzed reductions of 4-nitrophenol, respectively. In addition, the surface-plasmon-resonance-based absorption of light enhanced the catalytic performance of the mCGNRs. With the support of a polyurethane foam, the mCGNRs synthesized in this study can be applied as recydable heterogeneous catalysts for the reduction of 4-nitrophenol.

关键词： matryoshka-caged gold nanorods galvanic replacement reaction 4-nitrophenol catalysis surface plasmon resonance

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