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Reconfigurable Quantum Local Area Network Over Deployed Fiber

PRX Quantum 2021年第4期2卷 040304-040304页

作者： Muneer Alshowkan Brian P. Williams Philip G. Evans Nageswara S.V. Rao Emma M. Simmerman Hsuan-Hao Lu Navin B. Lingaraju Andrew M. Weiner Claire E. Marvinney Yun-Yi Pai Benjamin J. Lawrie Nicholas A. Peters Joseph M. Lukens Quantum Information Science Group Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Autonomous and Complex Systems Group Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Department of Applied Physics Stanford University Stanford California 94305 USA School of Electrical and Computer Engineering and Purdue Quantum Science and Engineering Institute Purdue University West Lafayette Indiana 47907 USA Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA

Practical quantum networking architectures are crucial for scaling the connection of quantum resources. Yet quantum network testbeds have thus far underutilized the full capabilities of modern lightwave communications, such as flexible-grid bandwidth allocation. In this work, we implement flex-grid entanglement distribution in a deployed network for the first time, connecting nodes in three distinct campus buildings time synchronized via the Global Positioning System. We quantify the quality of the distributed polarization entanglement via log-negativity, which offers a generic metric of link performance in entangled bits per second. After demonstrating successful entanglement distribution for two allocations of our eight dynamically reconfigurable channels, we realize the first deployed fiber network demonstration of remote state preparation (RSP), a fundamental quantum communications protocol with utility for performing remote private “blind” quantum computing. We further demonstrate RSP not only at one location but over three nodes in three locations. In general, our results highlight an advanced paradigm for managing entanglement resources in quantum networks of ever-increasing complexity and service demands.

关键词： Nonlinear optics Quantum communication Quantum entanglement Quantum networks Quantum optics Timing & synchronization Bayesian methods

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Time-varying Algorithm for Swarm Robotics

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 217-222页

作者： Ligang Hou Fangwen Fan Jingyan Fu Jinhui Wang Laboratory of VLSI and Systems College of Microelectronics Beijing University of Technology Department of Electrical and Computer Engineering North Dakota State University

Ever since the concept of swarm intelligence was brought out, a variety of control algorithms for swarm robotics has been put forward, and many of these algorithms are stable enough and efficient. Most of the researches only take an invariable controller which functions through the whole stage into consideration, the situation in which controller changes over time is rarely taken into account. However, there are limitations for invariable controller dominated algorithms in practical situation,which makes them unable to meet changing environment. On the contrary, variable controller is more flexible and can be able to adapt to complex environment. Considering such advantages,a time-varying algorithm for swarm robotics is presented in this paper. The algorithm takes time as one of the independent variables so that the controller is no longer fixed through the time,but can be changed over time, which brings more choices for the swarm robot system. In this paper, some relevant simulations are designed to test the algorithm. Different control strategies are applied on the same flock during the time, and a more complex,flexible and practical control effect is acquired successfully.

关键词： Advanced self-organization behavior agentbased distributed control system aggregation swarm intelligence

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Improperness Based SINR Analysis of GFDM systems Under Joint Tx and Rx I/Q Imbalance

Improperness Based SINR Analysis of GFDM Systems Under Joint...

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IEEE Conference on Wireless Communications and Networking

作者： Hao Cheng Yili Xia Yongming Huang Luxi Yang Zixiang Xiong Danilo P. Mandic National Mobile Communications Research Laboratory Southeast University Nanjing China Department of Electrical and Computer Systems Engineering Texas A&M University USA Department of Electrical and Electronic Engineering Imperial College London London UK

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

Adverse impacts of in-phase and quadrature-phase (I/Q) imbalance in both the transmitter (Tx) and receiver (Rx) are quantified for the generalized frequency division multiplexing (GFDM) based transmission over frequency selective fading channels. To this end, we first equip the standard signal-to-interference-plus-noise (SINR) performance evaluation with the ability to consider second-order noncircular (improper) signals, and thus precisely evaluate performance deterioration caused by I/Q distortions over the in-phase (I) and quadrature-phase (Q) channels of a transmission system. Next, we propose a novel means to evaluate the individual SINR contributions from both the channels of GFDM, and hence, provide more meaningful insights into the underlying wireless transmission in the presence of complex non-circularity. This is accompanied by an account of complete augmented second-order statistics of I/Q imbalanced GFDM waveforms which caters for various sources of complex improperness. Simulations in the GFDM system setting support our analysis.

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Machine learning approaches for estimating building energy consumption 2

Machine learning approaches for estimating building energy c...

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2nd International Conference on Environmental Prevention and Pollution Control Technologies, EPPCT 2020

作者： Liu, Liangyu Liu, Ningyi Zhang, Yilin Li, Yumeng Rui, Xiaobo Yang, Zi Department of Electrical and Computer Engineering Ohio State University ColumbusOH43210 United States Department of Statistics Ohio State University ColumbusOH43210 United States Department of Integrated Systems Engineering Ohio State University ColumbusOH43210 United States State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin300072 China Department of Materials Science and Engineering Ohio State University ColumbusOH43210 United States

Using building data and corresponding weather conditions provided by ASHRAE, a statistical method that carefully measures features and applies both linear regression and gradient boosting machine models to predict and analyse building energy consumption was developed. Comparison of the predicted and actual energy usage indicates our model can predict energy consumption within an acceptable error range. Such statistical model has the potential to be widely used to monitor energy consumption and measure energy savings for various kinds of buildings in the future. If additional data is available, this method will be more widely applicable to other sectors such as industrial facilities. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Energy utilization

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Predicting extreme events from data using deep machine learning: When and where

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Physical Review Research 2022年第2期4卷 023028-023028页

作者： Junjie Jiang Zi-Gang Huang Celso Grebogi Ying-Cheng Lai The Key Laboratory of Biomedical Information Engineering of Ministry of Education Institute of Health and Rehabilitation Science School of Life Science and Technology Research Center for Brain-inspired Intelligence Xi'an Jiaotong University The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs Xi'an Shaanxi 710049 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA Institute for Complex Systems and Mathematical Biology School of Natural and Computing Sciences King's College University of Aberdeen Aberdeen AB24 3UE United Kingdom Department of Physics Arizona State University Tempe Arizona 85287 USA

We develop a framework based on the deep convolutional neural network (DCNN) for model-free prediction of the occurrence of extreme events both in time (“when”) and in space (“where”) in nonlinear physical systems of spatial dimension two. The measurements or data are a set of two-dimensional snapshots or images. For a desired time horizon of prediction, a proper labeling scheme can be designated to enable successful training of the DCNN and subsequent prediction of extreme events in time. Given that an extreme event has been predicted to occur within the time horizon, a space-based labeling scheme can be applied to predict, within certain resolution, the location at which the event will occur. We use synthetic data from the two-dimensional complex Ginzburg-Landau equation and empirical wind speed data from the North Atlantic Ocean to demonstrate and validate our machine-learning-based prediction framework. The trade-offs among the prediction horizon, spatial resolution, and accuracy are illustrated, and the detrimental effect of spatially biased occurrence of extreme events on prediction accuracy is discussed. The deep learning framework is viable for predicting extreme events in the real world.

关键词： Machine learning Spatiotemporal chaos Artificial neural networks Extreme event statistics

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Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs

arXiv

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arXiv 2021年

作者： Netto, Marcos Krishnan, Venkat Zhang, Yingchen Mili, Lamine Sensing and Predictive Analytics Group Power Systems Engineering Center National Renewable Energy Laboratory GoldenCO80401 United States PA Consulting Group DenverCO80203 United States Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States

Sensing and measurement systems are quintessential to the safe and reliable operation of electric power grids. Their strategic placement is of ultimate importance because it is not economically viable to install measurement systems on every node and branch of a power grid, though they need to be monitored. An overwhelming number of strategies have been developed to meet oftentimes multiple conflicting objectives. The prime challenge in formulating the problem lies in developing a heuristic or an optimization model that, though mathematically tractable and constrained in cost, leads to trustworthy technical solutions. Further, large-scale, long-term deployments pose additional challenges because the boundary conditions change as technologies evolve. For instance, the advent of new technologies in sensing and measurement, as well as in communications and networking, might impact the cost and performance of available solutions and shift initially set conditions. Also, the placement strategies developed for transmission grids might not be suitable for distribution grids, and vice versa, because of unique characteristics;therefore, the strategies need to be flexible, to a certain extent, because no two power grids are alike. Despite the extensive literature on the present topic, the focus of published works tends to be on a specific subject, such as the optimal placement of measurements to ensure observability in transmission grids. There is a dearth of work providing a comprehensive picture for developing optimal placement strategies. Because of the ongoing efforts on the modernization of electric power grids, there is a need to consolidate the status quo while exposing its limitations to inform policymakers, industry stakeholders, and researchers on the research-anddevelopment needs to push the boundaries for innovation. Accordingly, this paper first reviews the state of the art considering both transmission and distribution grids. Then, it consolidates the key factors

关键词： Electric power transmission networks

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Outage Performance and Optimal Design of MIMO-NOMA Enhanced Small Cell Networks With Imperfect Channel-State Information

arXiv

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arXiv 2022年

作者： Shi, Zheng Wang, Hong Fu, Yaru Yang, Guanghua Ma, Shaodan Ye, Xinrong School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China School of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China School of Science and Technology The Open University of Hong Kong Hong Kong State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering University of Macau 999078 China School of Physics and Electronic Information Anhui Normal University Wuhu241002 China

This paper focuses on boosting the performance of small cell networks (SCNs) by integrating multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) in consideration of imperfect channel-state information (CSI). The estimation error and the spatial randomness of base stations (BSs) are characterized by using Kronecker model and Poisson point process (PPP), respectively. The outage probabilities of MIMO-NOMA enhanced SCNs are first derived in closed-form by taking into account two grouping policies, including random grouping and distance-based grouping. It is revealed that the average outage probabilities are irrelevant to the intensity of BSs in the interference-limited regime, while the outage performance deteriorates if the intensity is sufficiently low. Besides, as the channel uncertainty lessens, the asymptotic analyses manifest that the target rates must be restricted up to a bound to achieve an arbitrarily low outage probability in the absence of the inter-cell interference. Moreover, highly correlated estimation error ameliorates the outage performance under a low quality of CSI, otherwise it behaves oppositely. Afterwards, the goodput is maximized by choosing appropriate precoding matrix, receiver filters and transmission rates. In the end, the numerical results verify our analysis and corroborate the superiority of our proposed algorithm. © 2022, CC BY.

关键词： Channel state information

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Nonequilibrium cavity QED model accounting for dipole-dipole interaction in strong-, ultrastrong-, and deep-strong-coupling regimes

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Physical Review A 2020年第1期102卷 013701-013701页

作者： Asha Devi Sarath D. Gunapala Mark I. Stockman Malin Premaratne Advanced Computing and Simulation Laboratory Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Department of Physics and Astronomy Georgia State University Atlanta Georgia 30303 USA

We propose a generalized system of nonequilibrium cavity QED with interacting dipoles coupled to a single-mode of an electromagnetic field in strong-, ultrastrong-, and deep-strong-coupling regimes. To illustrate the applicability of the system, an extended Dicke model is developed for atoms undergoing Raman transitions between the ground states in the presence of laser fields and considering dipole-dipole interactions; the latter has been neglected in many previous works. We have studied the effect of a ferroelectric and an antiferroelectric arrangement on the phase transition for both a finite and an infinite number of dipoles. An additional superradiant phase is observed in the deep-strong-coupling regime due to influence of the dipole-dipole interaction term. A high degree of dipole-dipole entanglement occurs for the antiferroelectric arrangement in the deep-strong regime, whereas it gets disentangled quite rapidly for the ferroelectric arrangement. A sharp transition of system parameters is observed in the ultrastrong-coupling regime and beyond. The dipole-dipole interaction also influences the spectra of the system, inducing a significant shift in the peaks, and modifies the average number of photons emitted.

关键词： Atoms, ions, & molecules in cavities Cavity quantum electrodynamics Nanophotonics

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Observation of quantum strong Mpemba effect

arXiv

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arXiv 2024年

作者： Zhang, Jie Xia, Gang Wu, Chun-Wang Chen, Ting Zhang, Qian Xie, Yi Su, Wen-Bo Wu, Wei Qiu, Cheng-Wei Chen, Ping-Xing Li, Weibin Jing, Hui Zhou, Yan-Li Institute for Quantum Science and Technology College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Mechanism and technology of Quantum Information Changsha410073 China Hefei National Laboratory Anhui Hefei230088 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Hunan Normal University Changsha410081 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore School of Physics and Astronomy University of Nottingham NottinghamNG7 2RD United Kingdom Centre for the Mathematics and Theoretical Physics of Quantum Non-equilibrium Systems University of Nottingham NottinghamNG7 2RD United Kingdom College of Science National University of Defense Technology Changsha410073 China

An ancient and counterintuitive phenomenon known as the Mpemba effect showcases the critical role of initial conditions in relaxation processes. How to realize and utilize this effect for speeding up relaxation is an important but challenging task in purely quantum system till now. Here, we experimentally study the strong Mpemba effect in a single trapped ion system in which an exponentially accelerated relaxation in time is observed by preparing an optimal quantum initial state with no excitation of the slowest decaying mode. Also, we demonstrate that the condition of realizing such effect coincides with the Liouvillian exceptional point, featuring the coalescence of both the eigenvalues and the eigenmodes of the systems. Our work provides an efficient strategy to engineer the dynamics of open quantum system, and suggests a link unexplored yet between the Mpemba effect and the non-Hermitian physics. Copyright © 2024, The Authors. All rights reserved.

关键词： Trapped ions

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Disturbance Attenuation via Nonlinear Feedback for Chemical Reaction Networks

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IFAC-PapersOnLine 2020年第2期53卷 11497-11502页

作者： Lőrinc Márton Katalin M. Hangos Gábor Szederkényi Department of Electrical Engineering Sapientia Hungarian University of Transylvania Tirgu Mures Romania Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

This paper deals with the setpoint control of Chemical Reaction Networks (CRNs) in the presence of disturbances. The addressed control problem is traced back to the output feedback-based stabilization of passive systems. First, the passivity properties of complex balanced CRNs are discussed. Second, it is shown that, by combining the kinetic feedback based control with the passivity theory-based output feedback approach, arbitrary disturbance attenuation in controlled CRNs can be achieved. A case study is provided to demonstrate the applicability of the proposed control design approach.

关键词： Chemical Reaction Networks Passivity Setpoint Control Disturbance Attenuation

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