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Remote Blind State Preparation with Weak Coherent Pulses in the Field

Physical Review Letters 2019年第10期123卷 100503-100503页

作者： Yang-Fan Jiang Kejin Wei Liang Huang Ke Xu Qi-Chao Sun Yu-Zhe Zhang Weijun Zhang Hao Li Lixing You Zhen Wang Hoi-Kwong Lo Feihu Xu Qiang Zhang Jian-Wei Pan Shanghai Branch National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Shanghai 201315 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China Centre for Quantum Information and Quantum Control Department of Electrical & Computer Engineering and Department of Physics University of Toronto Toronto Ontario M5S 3G4 Canada State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

Quantum computing has seen tremendous progress in past years. Due to implementation complexity and cost, the future path of quantum computation is strongly believed to delegate computational tasks to powerful quantum servers on the cloud. Universal blind quantum computing (UBQC) provides the protocol for the secure delegation of arbitrary quantum computations, and it has received significant attention. However, a great challenge in UBQC is how to transmit a quantum state over a long distance securely and reliably. Here, we solve this challenge by proposing a resource-efficient remote blind qubit preparation (RBQP) protocol, with weak coherent pulses for the client to produce, using a compact and low-cost laser. We experimentally verify a key step of RBQP—quantum nondemolition measurement—in the field test over 100 km of fiber. Our experiment uses a quantum teleportation setup in the telecom wavelength and generates 1000 secure qubits with an average fidelity of (86.9±1.5)%, which exceeds the quantum no-cloning fidelity of equatorial qubit states. The results prove the feasibility of UBQC over long distances, and thus serves as a key milestone towards secure cloud quantum computing.

关键词： Optical quantum information processing Quantum computation Quantum cryptography Quantum optics Quantum protocols Quantum teleportation

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Nonretarded edge plasmon-polaritons in anisotropic two-dimensional materials

arXiv

引用

arXiv 2019年

作者： Margetis, Dionisios Maier, Matthias Stauber, Tobias Low, Tony Luskin, Mitchell Institute for Physical Science and Technology Department of Mathematics Center for Scientific Computation and Mathematical Modeling University of Maryland College ParkMD20742 United States Department of Mathematics Texas A&M University College StationTX77843 United States Materials Science Factory Instituto de Ciencia de Materiales de Madrid CSIC MadridE-28049 Spain Department of Electrical & Computer Engineering University of Minnesota MinneapolisMN55455 United States School of Mathematics University of Minnesota MinneapolisMN55455 United States

By an integral equation approach to the time-harmonic classical Maxwell equations, we describe the dispersion in the nonretarded frequency regime of the edge plasmon-polariton (EPP) on a semi-infinite flat sheet. The sheet has an arbitrary, physically admissible, tensor valued and spatially homogeneous conductivity, and serves as a model for a family of two-dimensional conducting materials. We formulate a system of integral equations for the electric field tangential to the sheet in a homogeneous and isotropic ambient medium. We show how this system is simplified via a length scale separation. This view entails the quasi-electrostatic approximation, by which the tangential electric field is replaced by the gradient of a scalar potential, . By the Wiener-Hopf method, we solve an integral equation for in some generality. The EPP dispersion relation comes from the elimination of a divergent limiting Fourier integral for at the edge. We connect the existence, or lack thereof, of the EPP dispersion relation to the index for Wiener-Hopf integral equations, an integer of topological character. We indicate that the values of this index may express an asymmetry due to the material anisotropy in the number of wave modes propagating on the sheet away from the edge with respect to the EPP direction of propagation. We discuss extensions such as the setting of two semi-infinite, coplanar sheets. Our theory forms a generalization of the treatment by Volkov and Mikhailov (1988 Sov. Phys. JETP 67 1639). Copyright © 2019, The Authors. All rights reserved.

关键词： Integral equations

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Author Correction: Frontotemporal coordination predicts working memory performance and its local neural signatures

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Nature communications 2021年第1期12卷 3811页

作者： Ehsan Rezayat Mohammad-Reza A Dehaqani Kelsey Clark Zahra Bahmani Tirin Moore Behrad Noudoost School of Cognitive Sciences Institute for Research in Fundamental Sciences (IPM) Tehran Iran. School of Cognitive Sciences Institute for Research in Fundamental Sciences (IPM) Tehran Iran. dehaqani@ut.ac.ir. Cognitive Systems Laboratory Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran. dehaqani@ut.ac.ir. Department of Ophthalmology and Visual Sciences University of Utah Salt Lake City UT USA. Department of Biomedical Engineering Tarbiat Modares University Tehran Iran. Department of Neurobiology Stanford University Stanford CA USA. Howard Hughes Medical Institute Stanford University Stanford CA USA. Department of Ophthalmology and Visual Sciences University of Utah Salt Lake City UT USA. behrad.noudoost@utah.edu.

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Assessment of plant structural characteristics, health, and ecology using bioacoustic tools 175

Assessment of plant structural characteristics, health, and ...

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175th Meeting of the Acoustical Society of America

作者： Mankin, Richard W. Stanaland, Daniel Haseeb, Muhammad Rohde, Barukh Menocal, Octavio Carrillo, Daniel Center for Med. Agric. Veterinary Entomol. United States Department of Agriculture-ARS GainesvilleFL32607 United States Center for Biological Control FAMU TallahasseeFL32307 United States FAMU TallahasseeFL32307 United States Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Tropical Research and Education Center University of Florida HomesteadFL33031 United States

Plants have responded to abiotic stress and biotic threats with evolutionary adaptations resulting in a variety of plant architectures and cell walls with economically important mechanical properties. Bioacoustic tools have been applied to measure mechanical properties of plant structures, optimize mechanical harvesting, and detect the distribution of root systems, as well as to monitor plant health, photosynthesis, and ecology, and to assess the quality of marketable plant products. In addition, acoustic and vibration sensors are used by entomologists to detect hidden infestations of invasive insect species and to monitor insect movement, feeding, and mating activities on host plants. Reliable identification and interpretation of insect-produced sounds and vibrations on and within plants is complicated by physical processes that filter and distort vibrations as they pass through and reflect from different plant structures and the air. This report considers the use of bioacoustic tools to analyze plant health and structural characteristics, and then discusses how combinations of spectral-, temporal-, and spatial-distribution features of signals detected in plants can be interpreted in ways that properly account for plant structural vibrational filtering and distortion processes and enable reliable assessment of hidden pest infestations, including invasive insect species of importance for plant biosecurity. © 2018 Acoustical Society of America.

关键词： Vibration analysis

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Fast and accurate tensor completion with total variation regularized tensor trains

arXiv

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arXiv 2018年

作者： Ko, Ching-Yun Batselier, Kim Yu, Wenjian Wong, Ngai Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong Delft Center for Systems and Control Delft University of Technology Delft Netherlands Department of Computer Science and Technology Tsinghua University Beijing China

We propose a new tensor completion method based on tensor trains. The to-be-completed tensor is modeled as a low-rank tensor train, where we use the known tensor entries and their coordinates to update the tensor train. A novel tensor train initialization procedure is proposed specifically for image and video completion, which is demonstrated to ensure fast convergence of the completion algorithm. The tensor train framework is also shown to easily accommodate Total Variation and Tikhonov regularization due to their low-rank tensor train representations. Image and video inpainting experiments verify the superiority of the proposed scheme in terms of both speed and scalability, where a speedup of up to 155× is observed compared to state-of-the-art tensor completion methods at a similar accuracy. Moreover, we demonstrate the proposed scheme is especially advantageous over existing algorithms when only tiny portions (say, 1%) of the to-be-completed images/videos are known. Copyright © 2018, The Authors. All rights reserved.

关键词： Image reconstruction

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A Geometric Approach for the Cooperative Two-Pursuer One-Evader Differential Game

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IFAC-PapersOnLine 2017年第1期50卷 15209-15214页

作者： Garcia, Eloy Fuchs, Zachariah E. Milutinovic, Dejan Casbeer, David W. Pachter, Meir Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH45433 United States Department of Electrical Engineering Wright State University DaytonOH45435 United States Department of Computer Engineering University of California Santa Cruz Santa CruzCA95064 United States Department of Electrical Engineering Air Force Institute of Technology Wright-Patterson AFB OH45433 United States

This paper revisits Isaacs’ two cutters and fugitive ship differential game where two faster pursuers cooperate to capture a slower evader in minimum time; the three players have simple motion. The evader, knowing that is being pursued by two cooperative pursuers, tries to maximize the capture time. A solution of this differential game is determined based on the Hamiltonian formulation and based on the geometric properties of the game. Additionally, this solution is verified by analyzing the properties of the obtained candidate Value function. © 2017

关键词： Game theory Capture time Differential games Geometric approaches Geometric properties Hamiltonian formulations Minimum time Value functions

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Semi-Global Output Containment control of Linear Multi-agent Systems with Actuator Saturation

Semi-Global Output Containment Control of Linear Multi-agent...

引用

第37届中国控制会议

作者： Liangren Shi Zongli Lin Student Innovation Center and Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of the Ministry of Education Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

In this paper, we study the semi-global output containment control problem of a multi-agent system in the presence of actuator saturation over a directed network. The leader and follower agents are of different dynamics, and the follower agents are affected by disturbances generated by the leader agents through directed paths in the communication topology. The control objective of the output containment control is to drive the output trajectories of the follower agents to converge to the convex hull spanned by the outputs of the leader agents in the presence of disturbances. Low gain feedback containment protocols are constructed based on the output regulation approach and distributed observers. It is shown that semi-global output containment control can be achieved by the proposed protocols, if each follower agent is connected to at least one leader agent through a directed path in the communication topology. Simulation results verify the theoretical conclusions.

关键词： Multi-agent systems output containment control output regulation low gain feedback actuator saturation

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Topological nonlinear anomalous nernst effect in strained transition metal dichalcogenides

arXiv

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arXiv 2019年

作者： Yu, Xiao-Qin Zhu, Zhen-Gang You, Jhih-Shih Low, Tony Su, Gang School of Physics and Electronics Hunan University Changsha410082 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China Theoretical Condensed Matter Physics and Computational Materials Physics Laboratory College of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China Institute for Theoretical Solid State Physics IFW Dresden Helmholtzstr. 20 Dresden01069 Germany Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Kavli Institute of Theoretical Sciences University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing100190 China

We theoretically analyze the non-linear anomalous Nernst effect as the second-order response of temperature gradient by using the semiclassical framework of electron dynamics. We find that a non-linear current can be generated transverse to the applied temperature gradient in time-reversal-symmetry materials with broken inversion symmetry. This effect has a quantum origin arising from the Berry curvature of states near the Fermi surface. We discuss the non-linear Nernst effect in transition metal dichalcogenides (TMDCs) under the application of uniaxial strain. In particular, we predict that under fixed chemical potential in TMDCs, the non-linear Nernst current exhibits a transition from T−2 temperature dependence in low temperature regime to a linear T-dependence in high temperature. Copyright © 2019, The Authors. All rights reserved.

关键词： Transition metals

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Robust ADRC for Nonlinear Time-varying System with Uncertainties 6

Robust ADRC for Nonlinear Time-varying System with Uncertain...

引用

2017 IEEE 6th Data Driven control and Learning Systems Conference (DDCLS’17)

作者： Xiangyang Li Wei Ai Zhiqiang Gao Senping Tian Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering South China University of Technology IEEE Center for Advanced Control Technologies Department of Electrical and Computer EngineeringCleveland State University

ISBN: (纸本)9781509054626

Active disturbance rejection control(ADRC) exemplifies the spirit of the data-driven control(DDC) design strategy and shows much promise in obtaining consistent applications in industrial control systems with uncertainties, without the premise that the detailed mathematical model of the controlled system is given. Instead, it is shown that the information needed for the control system to work at high level of effectiveness can be extracted from the input-output data by the use of the extended state observer(ESO). On the other hand, it is shown in this paper that the robustness of ADRC depends on the effectiveness of ESO. Furthermore, taking advantage of the rich body of knowledge in the existing field of robust control, the estimation error in ESO is analysed and, for the purpose of improved robustness, a unique nonlinear component is added to the conventional ADRC law. The modified ADRC which is a kind of robust ADRC law is validated in simulation for a nonlinear time-varying system with parametric and functional uncertainties. It is shown that the proposed robust ADRC law provides more effective tracking performance than the conventional ADRC when the bandwidth of ESO is not wide enough.

关键词： Active Disturbance Rejection control(ADRC) Robust control Extended State Observer(ESO) Nonlinear Time-varying System

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

引用

Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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