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Articoli di riviste sul tema "Ensemble controllability"

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Autore: Grafiati

Pubblicato: 8 giugno 2024

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1

Kuritz, Karsten, Shen Zeng e Frank Allgower. "Ensemble Controllability of Cellular Oscillators". IEEE Control Systems Letters 3, n. 2 (aprile 2019): 296–301. http://dx.doi.org/10.1109/lcsys.2018.2870967.

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Agrachev, Andrei, Yuliy Baryshnikov e Andrey Sarychev. "Ensemble controllability by Lie algebraic methods". ESAIM: Control, Optimisation and Calculus of Variations 22, n. 4 (5 agosto 2016): 921–38. http://dx.doi.org/10.1051/cocv/2016029.

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3

Li, Jr-Shin, Wei Zhang e Lin Tie. "On Separating Points for Ensemble Controllability". SIAM Journal on Control and Optimization 58, n. 5 (gennaio 2020): 2740–64. http://dx.doi.org/10.1137/19m1278648.

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4

Danhane, Baparou, e Jérôme Lohéac. "Ensemble controllability of parabolic type equations". Systems & Control Letters 183 (gennaio 2024): 105683. http://dx.doi.org/10.1016/j.sysconle.2023.105683.

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5

Gharesifard, Bahman, e Xudong Chen. "Structural Averaged Controllability of Linear Ensemble Systems". IEEE Control Systems Letters 6 (2022): 518–23. http://dx.doi.org/10.1109/lcsys.2021.3082762.

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6

Beauchard, Karine, Jean-Michel Coron e Pierre Rouchon. "Controllability Issues for Continuous-Spectrum Systems and Ensemble Controllability of Bloch Equations". Communications in Mathematical Physics 296, n. 2 (21 febbraio 2010): 525–57. http://dx.doi.org/10.1007/s00220-010-1008-9.

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7

Chen, Xudong. "Structure theory for ensemble controllability, observability, and duality". Mathematics of Control, Signals, and Systems 31, n. 2 (giugno 2019): 1–40. http://dx.doi.org/10.1007/s00498-019-0237-5.

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8

Zeng, Shen, e Frank Allgöwer. "A moment-based approach to ensemble controllability of linear systems". Systems & Control Letters 98 (dicembre 2016): 49–56. http://dx.doi.org/10.1016/j.sysconle.2016.09.020.

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9

Chen, Xudong. "Controllability of continuum ensemble of formation systems over directed graphs". Automatica 108 (ottobre 2019): 108497. http://dx.doi.org/10.1016/j.automatica.2019.108497.

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10

Chen, Xudong. "Controllability Issues of Linear Ensemble Systems over Multidimensional Parameterization Spaces". SIAM Journal on Control and Optimization 61, n. 4 (8 agosto 2023): 2425–47. http://dx.doi.org/10.1137/21m1418691.

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11

Zhong, Jie, Yang Liu, Kit Ian Kou, Liangjie Sun e Jinde Cao. "On the ensemble controllability of Boolean control networks using STP method". Applied Mathematics and Computation 358 (ottobre 2019): 51–62. http://dx.doi.org/10.1016/j.amc.2019.03.059.

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12

Augier, Nicolas, Ugo Boscain e Mario Sigalotti. "Semi-conical eigenvalue intersections and the ensemble controllability problem for quantum systems". Mathematical Control & Related Fields 10, n. 4 (2020): 877–911. http://dx.doi.org/10.3934/mcrf.2020023.

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13

Helmke, Uwe, e Michael Schönlein. "Uniform ensemble controllability for one-parameter families of time-invariant linear systems". Systems & Control Letters 71 (settembre 2014): 69–77. http://dx.doi.org/10.1016/j.sysconle.2014.05.015.

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14

Robin, Rémi, Nicolas Augier, Ugo Boscain e Mario Sigalotti. "Ensemble qubit controllability with a single control via adiabatic and rotating wave approximations". Journal of Differential Equations 318 (maggio 2022): 414–42. http://dx.doi.org/10.1016/j.jde.2022.02.042.

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15

Selezneva, M. S. "Control of the Selection Criteria of the Self-Organization Algorithm in the Problems of Correcting the Navigation Systems of Maneuverable Aircraft". Mekhatronika, Avtomatizatsiya, Upravlenie 24, n. 12 (6 dicembre 2023): 660–68. http://dx.doi.org/10.17587/mau.24.660-668.

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Abstract (sommario):

The problem of constructing models with the desired properties, which are used in the algorithmic support of the sighting and navigation complex of the aircraft, has been studied. The quality of the used mathematical models largely determines the accuracy of the correction of the sighting and navigation system, therefore it is proposed to build models directly during the flight using some evolutionary algorithm. For example, using a self-organization algorithm. The ensemble of selection criteria for the self-organization algorithm includes various criteria that determine the properties of the selected models. Depending on the field of application of the models, they are given the desired properties by means of a self-organization algorithm with a variable ensemble of selection criteria. The selection ensemble consists of general, special criteria, as well as a controlled combination of qualitative criteria that selectively improve the performance of models. When the flight mode changes, the influence of one or another special criterion on the process under study changes. The change in the ensemble of selection criteria for the self-organization algorithm occurs automatically during the flight. Degrees of observability, controllability and parametric identifiability are used as improved qualitative characteristics. Over time, the degree of observability, controllabi lity, and parametric identifiability may change. Components that were well observable over time can become poorly observable. The weakly observable components of the state vector, although they are formally observable, in practice are not processed by estimation algorithms, since their evaluation is possible only on sufficiently large intervals of the system operation. A similar situation develops with models in the study of the quality of their controllability, as well as with the parameters of models during their identification. An algorithm for controlling the quality selection criteria and a diagram of the algorithm for generating models during the correction of a promising sighting and navigation complex of an aircraft are presented. Mathematical modeling has been carried out for various flight modes of the aircraft, such as straight flight, flight at different altitudes. The results of the simulation showed the efficiency and effectiveness of the proposed algorithmic solutions

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Belhadj, Mohamed, Julien Salomon e Gabriel Turinici. "Ensemble controllability and discrimination of perturbed bilinear control systems on connected, simple, compact Lie groups". European Journal of Control 22 (marzo 2015): 23–29. http://dx.doi.org/10.1016/j.ejcon.2014.12.003.

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El-Kenawy, El-Sayed M. El, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Mohamed Saber e Marwa M. Eid. "Metaheuristic Optimized Voting Ensemble for Recognizing Daily and Sports Activities". Journal of Artificial Intelligence and Metaheuristics 2, n. 2 (2022): 08–17. http://dx.doi.org/10.54216/jaim.020201.

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This research analyzes the effectiveness of several methods for categorizing human actions captured by inertial and magnetic sensor units worn on the chest, arms, and legs. Each device has tri-axial sensors, including a gyroscope, accelerometer, and magnetometer. Voting ensemble classification models, where votes are weighted and optimized with a new optimization technique, are offered as a means to actualize this classification problem. The optimization technique is a combination of the sine cosine and particle swarm optimization algorithms, and the ensemble model is made up of three classifiers: support vector machines, decision trees, and multilayer perceptron. The classifiers are checked for accuracy using three distinct cross-validation strategies. Classifiers' proper differentiation rates and computational costs are compared to help you choose the best one for your needs. When it comes to body location, sensor devices worn on the legs provide the most valuable data. From a comparison of the various sensor modalities, we can deduce that magnetometers, followed by accelerometers and gyroscopes, provide the best classification results when only a single sensor type is employed. Furthermore, the study contrasts three machine learning models—support vector machines, decision trees, and multilayer perceptron —with respect to their usability, controllability, and classifier performance. Results reveal that the suggested method performs well in categorizing both typical daily activities and athletic endeavors.

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Cervi, Eric, Xuefei Lu, Antonio Cammi, Francesco Di Maio e Enrico Zio. "Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control". Journal of Nuclear Engineering 3, n. 4 (18 ottobre 2022): 277–94. http://dx.doi.org/10.3390/jne3040016.

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The numerical analysis for the controllability assessment of a new design nuclear reactor is typically carried out by means of complex multiphysics codes, solving high fidelity partial differential equations governing the system neutronics as well as the fluid dynamics. Multiphysics codes deliver very accurate solutions at the expense of high computational times, which could be of several hours depending on the specific case study. In this work, to efficiently reduce runtimes, a sensitivity analysis (SA) is carried out to identify the most important input parameters affecting the solution of a multiphysics model developed for the controllability assessment of molten salt reactors (MSRs). The numerical modeling of these innovative systems is fundamental to allow for a safer and more sustainable power production (e.g., due to the lower radiotoxicity of the actinide inventory in MSRs and to the possibility of operation at atmospheric pressure). In this paper, four global sensitivity measures are calculated first, including the Pearson correlation coefficient, δ, Kolmogorov–Smirnov and Kuiper indices, whose results are aggregated by an ensemble strategy and confirmed by the CUmulative SUm of NOrmalized Reordered Output (CUSUNORO) plot. The results of the SA point out that the fuel density is the most important parameter yielding the largest variations in the system reactivity, fundamental for guaranteeing the MSR controllability. In light of this result, a simplified, surrogate model is then developed, which uses density as the only input parameter to determine reactivity, guaranteeing runtime reductions from several hours to a few seconds and, at the same time, a comparable level of accuracy of the multiphysics model. This result demonstrates the capability of global sensitivity analysis approaches to effectively identify the most relevant parameters in MSR systems, supporting the development of simplified, control-oriented models for these innovative reactors.

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Babu, Vunnava Dinesh, e Karunakaran Malathi. "Large dataset partitioning using ensemble partition-based clustering with majority voting technique". Indonesian Journal of Electrical Engineering and Computer Science 29, n. 2 (1 febbraio 2023): 838. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp838-844.

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<span lang="EN-US">Large datasets have become useful in data mining for processing, storing, and handling vast amounts of data. However, handling and processing large datasets is time-consuming and memory intensive. As a result, the researchers adopted a partitioning strategy to improve controllability and performance and reduce the time and memory required to handle large datasets. Unfortunately, the numerous clustering techniques available in the literature could confuse experts in choosing the best techniques for a given dataset. Furthermore, no clustering technique can tackle all problems, such as cluster structure, noise, or density. To manage large datasets, existing clustering techniques need scalable solutions. Therefore, this paper proposes an ensemble partition-based clustering with a majority voting technique for large dataset partitioning using the aggregation of k-means, k-medoids, fuzzy c-means, expectation-maximization (EM) and density-based spatial clustering of applications with noise (DBSCAN) techniques. These techniques cluster the large dataset individually in the first stage. The final clusters are discovered in the next stage through a majority voting technique among the five clustering algorithms. These five clustering algorithms assigned data instances to the cluster with the most votes. The experimental findings demonstrate that the ensemble partition-based clustering method surpasses the other five clustering algorithms in terms of execution time and accuracy.</span>

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Béal, D., P. Brasseur, J. M. Brankart, Y. Ourmières e J. Verron. "Controllability of mixing errors in a coupled physical biogeochemical model of the North Atlantic: a nonlinear study using anamorphosis". Ocean Science Discussions 6, n. 2 (30 giugno 2009): 1289–332. http://dx.doi.org/10.5194/osd-6-1289-2009.

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Abstract. In biogeochemical models coupled to ocean circulation models, vertical mixing is an important physical process which governs the nutrient supply and the plankton residence in the euphotic layer. However, mixing is often poorly represented in numerical simulations because of approximate parameterizations of sub-grid scale turbulence, wind forcing errors and other mis-represented processes such as restratification by mesoscale eddies. Getting a sufficient knowledge of the nature and structure of these error sources is necessary to implement appropriate data assimilation methods and to evaluate their controllability by a given observation system. In this paper, Monte Carlo simulations are conducted to study mixing errors induced by approximate wind forcings in a three-dimensional coupled physical-biogeochemical model of the North Atlantic with a 1/4° horizontal resolution. An ensemble forecast involving 200 members is performed during the 1998 spring bloom, by prescribing realistic wind perturbations to generate mixing errors. It is shown that the biogeochemical response can be rather complex because of nonlinearities and threshold effects in the coupled model. In particular, the response of the surface phytoplankton depends on the region of interest and is particularly sensitive to the local stratification. We examine the robustness of the statistical relationships computed between the various physical and biogeochemical variables, and we show that significant information on the ecosystem can be obtained from observations of chlorophyll concentration or sea surface temperature. In order to improve the analysis step of sequential assimilation schemes, we propose to perform a simple nonlinear change of variables that operates separately on each state variable, by mapping their ensemble percentiles on the Gaussian percentiles. It is shown that this method is able to substantially reduce the estimation error with respect to the linear estimates computed by the Kalman filter.

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Ullah, Rahmat, e Byoung S. Ham. "Understanding of Collective Atom Phase Control in Modified Photon Echoes for a Near-Perfect Storage Time-Extended Quantum Memory". Entropy 22, n. 8 (15 agosto 2020): 900. http://dx.doi.org/10.3390/e22080900.

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A near-perfect storage time-extended photon echo-based quantum memory protocol has been analyzed by solving the Maxwell–Bloch equations for a backward scheme in a three-level system. The backward photon echo scheme is combined with a controlled coherence conversion process via controlled Rabi flopping to a third state, where the control Rabi flopping collectively shifts the phase of the ensemble coherence. The propagation direction of photon echoes is coherently determined by the phase-matching condition between the data (quantum) and the control (classical) pulses. Herein, we discuss the classical controllability of a quantum state for both phase and propagation direction by manipulating the control pulses in both single and double rephasing photon echo schemes of a three-level system. Compared with the well-understood uses of two-level photon echoes, the Maxwell–Bloch equations for a three-level system have a critical limitation regarding the phase change when interacting with an arbitrary control pulse area.

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Sun, Qiwen, Takemasa Miyoshi e Serge Richard. "Control simulation experiments of extreme events with the Lorenz-96 model". Nonlinear Processes in Geophysics 30, n. 2 (19 giugno 2023): 117–28. http://dx.doi.org/10.5194/npg-30-117-2023.

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Abstract. The control simulation experiment (CSE) is a recently developed approach to investigate the controllability of dynamical systems, extending the well-known observing system simulation experiment (OSSE) in meteorology. For effective control of chaotic dynamical systems, it is essential to exploit the high sensitivity to initial conditions for dragging a system away from an undesired regime by applying minimal perturbations. In this study, we design a CSE for reducing the number of extreme events in the Lorenz-96 model. The 40 variables of this model represent idealized meteorological quantities evenly distributed on a latitude circle. The reduction of occurrence of extreme events over 100-year runs of the model is discussed as a function of the parameters of the CSE: the ensemble forecast length for detecting extreme events in advance, the magnitude and localization of the perturbations, and the quality and coverage of the observations. The design of the CSE is aimed at reducing weather extremes when applied to more realistic weather prediction models.

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Mozohin, Andrey. "Methodology for Ensuring a Comfortable Microclimate State in a Smart Home Using an Ensemble of Fuzzy Artificial Neural Networks". Informatics and Automation 20, n. 6 (16 novembre 2021): 1418–47. http://dx.doi.org/10.15622/ia.20.6.9.

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Analysis of the application of smart home technology indicates an insufficient level of controllability of its infrastructure, which leads to excessive consumption of energy and information resources. The problem of managing the digital infrastructure of human living space, is associated with a large number of highly specialized solutions for home automation, which complicate the management process. Smart home is considered as a set of independent cyber-physical devices aimed at achieving its goal. For coordinated work of cyber-physical devices it is proposed to provide their joint work through a single information center. Simulation of device operation modes in a digital environment preserves the resource of physical devices by making a virtual calculation for all possible variants of interaction of devices between themselves and the physical environment. A methodology for controlling the microclimate of a smart home using an ensemble of fuzzy artificial neural networks is developed, with the example of joint use of air conditioning, ventilation and heating. The neural network algorithm allows you to monitor the parameters of the physical environment, predict the modes of cyber-physical devices and generate control signals for each of them, ensuring the joint operation of devices with minimal resource consumption and information traffic. A variant of practical implementation of a smart home climate control system on the example of a multifunctional educational computer class is proposed. Hybrid neural networks of air conditioning, ventilation and heating systems were developed. The testing of the microclimate control system of a multifunctional university classroom using hybrid neural networks was carried out, a programmable logic controller of domestic production was used as a control device. The goal of management based on cooperating cyber-physical devices is to achieve a minimum of power and information traffic when they work together.

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Mudiar, Priyanko Raj, Kandarpa Kumar Sarma e Nikos Mastorakis. "Adaptively Equalized Bandwidth Optimization Model using SCADA-DWWAN based Neural Network". WSEAS TRANSACTIONS ON ELECTRONICS 13 (19 settembre 2022): 107–14. http://dx.doi.org/10.37394/232017.2022.13.14.

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Artificial training and learning algorithms, enhanced with semi-supervised or self-supervised feature extraction capacities, employ adaptive decision optimization models. These are often favored over complex deep learning algorithms for achieving better controllability and ease of observation, lower complexity in simulating, building or designing and virtual prototyping of automatic network resource management (ANRM) standards. An Adaptive Linear Neuron type Artificial Neural Network (ADALINE-ANN) which is based on multi-tapered machine learning approach has been simulated in a virtual Supervisory Control and Data Acquisition (SCADA) framework integrated with a Distributed Control System (SCADA/DCS-Net). The system has been virtually simulated considering an adaptively equalized learning and decision approach which utilizes Markov Trained-Steepest Gradient Descent (HMM-SGD) based machine learning model employing Kalman optimization. Affinity clustering is employed for spectrum sensing by extracting the Constellation Nyquist Bands from an M-Quadrature Amplitude Modulation (QAM) orthogonal signal undergoing AWGN and Rayleigh fading as well as co-channel interference (CCI), and ensemble analysis using Channel State-Space plots are used for optimal spectrum allocation in an Adaptive Orthogonal Frequency Division Multiple Access (Adaptive-OFDMA) layout. It has been done by implementing an adaptively equalized Automatic Repeat Request (ARQ) pipelining model which utilizes minimum least square error (MLSE) minimization model. The objective is to improve the bandwidth allocation and usage ensuring most minimum spectrum wastage or loss. Successive Interference Cancellation (SIC) has been implemented to minimize static buffer and interference loss. Thus, spectrum loss due to latency and jitter which occurs from bandwidth congestion is minimized by improving the network resource tracking and allocation. It results in improved and stable bandwidth equalization.

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Schönlein, Michael, e Uwe Helmke. "Controllability of ensembles of linear dynamical systems". Mathematics and Computers in Simulation 125 (luglio 2016): 3–14. http://dx.doi.org/10.1016/j.matcom.2015.10.006.

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Danhane, Baparou, Jérôme Lohéac e Marc Jungers. "Conditions for uniform ensemble output controllability, and obstruction to uniform ensemble controllability". Mathematical Control and Related Fields, 2023, 0. http://dx.doi.org/10.3934/mcrf.2023036.

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Chen, Xudong. "Sparse Linear Ensemble Systems and Structural Controllability". IEEE Transactions on Automatic Control, 2021, 1. http://dx.doi.org/10.1109/tac.2021.3097289.

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Miao, Wei, Gong Cheng e Jr-Shin Li. "On Numerical Examination of Uniform Ensemble Controllability for Linear Ensemble Systems". IEEE Control Systems Letters, 2020, 1. http://dx.doi.org/10.1109/lcsys.2020.3043694.

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Leventides, John, Nick Poulios e Costas Poulios. "Random matrices and controllability of dynamical systems". IMA Journal of Mathematical Control and Information, 5 maggio 2021. http://dx.doi.org/10.1093/imamci/dnab011.

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Abstract We introduce the concept of $\epsilon $-uncontrollability for random linear systems, i.e. linear systems in which the usual matrices have been replaced by random matrices. We also estimate the $\varepsilon $-uncontrollability in the case where the matrices come from the Gaussian orthogonal ensemble. Our proof utilizes tools from systems theory, probability theory and convex geometry.

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"The use of models with improved characteristics in the missile control system". Automation. Modern Techologies, 2020. http://dx.doi.org/10.36652/0869-4931-2020-74-12-563-568.

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A fundamental diagram of a control system for missiles of various classes is investigated. A functional diagram of a control system with an intelligent component for long-range aerodynamic rockets returning to the atmosphere is developed. It is proposed to use in the control loop an ensemble of a priori missile models and models of external influences. It is proposed to improve the accuracy of control systems with an intelligent component by increasing the degree of controllability of the state variables for a priori models. The most convenient numerical criterion of controllability degree for of the state variables of the models is presented. The results of mathematical modeling showed a slight increase in the efficiency of missile control with an increase in the degree of controllability of the pitch angle by changing the coefficients of the control matrix. Keywords rocket; control system; intelligent component; an action acceptor; a priori model; controllability; degree of controllability; management efficiency

31

Bomela, Walter, Bharat Singhal e Jr-Shin Li. "Engineering Spatiotemporal Patterns: Information Encoding, Processing, and Controllability in Oscillator Ensembles". Biomedical Physics & Engineering Express, 22 giugno 2023. http://dx.doi.org/10.1088/2057-1976/ace0c9.

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Abstract The ability to finely manipulate spatiotemporal patterns displayed in neuronal populations is critical for understanding and influencing brain functions, sleep cycles, and neurological pathologies. However, such control tasks are challenged not only by the immense scale, but also by the lack of real-time state measurements of neurons in the population, which deteriorates the control performance. In this paper, we formulate the control of dynamic structures in an ensemble of neuron oscillators as a tracking problem and propose a principled control technique for designing optimal stimuli that produce desired spatiotemporal patterns in a network of interacting neurons without requiring feedback information. We further reveal an interesting presentation of information encoding and processing in a neuron ensemble in terms of its controllability property. The performance of the presented technique in creating complex spatiotemporal spiking patterns is demonstrated on neural populations described by mathematically ideal and biophysical models, including the Kuramoto and Hodgkin–Huxley models, as well as real-time experiments on Wein bridge oscillators.

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Popescu, Victor-Bogdan, José Ángel Sánchez-Martín, Daniela Schacherer, Sadra Safadoust, Negin Majidi, Andrei Andronescu, Alexandru Nedea et al. "NetControl4BioMed: a web-based platform for controllability analysis of protein–protein interaction networks". Bioinformatics, 5 agosto 2021. http://dx.doi.org/10.1093/bioinformatics/btab570.

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Abstract Motivation There is an increasing amount of data coming from genome-wide studies identifying disease-specific survivability-essential proteins and host factors critical to a cell becoming infected. Targeting such proteins has a strong potential for targeted, precision therapies. Typically however, too few of them are drug targetable. An alternative approach is to influence them through drug targetable proteins upstream of them. Structural target network controllability is a suitable solution to this problem. It aims to discover suitable source nodes (e.g. drug targetable proteins) in a directed interaction network that can control (through a suitable set of input functions) a desired set of targets. Results We introduce NetControl4BioMed, a free open-source web-based application that allows users to generate or upload directed protein–protein interaction networks and to perform target structural network controllability analyses on them. The analyses can be customized to focus the search on drug targetable source nodes, thus providing drug therapeutic suggestions. The application integrates protein data from HGNC, Ensemble, UniProt, NCBI and InnateDB, directed interaction data from InnateDB, Omnipath and SIGNOR, cell-line data from COLT and DepMap, and drug–target data from DrugBank. Availabilityand implementation The application and data are available online at https://netcontrol.combio.org/. The source code is available at https://github.com/Vilksar/NetControl4BioMed under an MIT license.

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Biswas, Animesh, Sudhanshu Shekhar Chaurasia, P. Parmananda e Sudeshna Sinha. "Asymmetry induced suppression of chaos". Scientific Reports 10, n. 1 (24 settembre 2020). http://dx.doi.org/10.1038/s41598-020-72476-8.

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Abstract We explore the dynamics of a group of unconnected chaotic relaxation oscillators realized by mercury beating heart systems, coupled to a markedly different common external chaotic system realized by an electronic circuit. Counter-intuitively, we find that this single dissimilar chaotic oscillator manages to effectively steer the group of oscillators on to steady states, when the coupling is sufficiently strong. We further verify this unusual observation in numerical simulations of model relaxation oscillator systems mimicking this interaction through coupled differential equations. Interestingly, the ensemble of oscillators is suppressed most efficiently when coupled to a completely dissimilar chaotic external system, rather than to a regular external system or an external system identical to those of the group. So this experimentally demonstrable controllability of groups of oscillators via a distinct external system indicates a potent control strategy. It also illustrates the general principle that symmetry in the emergent dynamics may arise from asymmetry in the constituent systems, suggesting that diversity or heterogeneity may have a crucial role in aiding regularity in interactive systems.

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Wen Ya-fei, Tian Jian-feng, Wang Zhi-qiang e Zhuang Yuan-yuan. "Fiber-cavity enhanced and high-fidelity optical memory in cold atoms". Acta Physica Sinica, 2023, 0. http://dx.doi.org/10.7498/aps.72.20222178.

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Entanglement between a photon and an atomic memory is an important tool for quantum repeater research. By using the Duan-Lukin-Cirac-Zoller (DLCZ) process in the atomic ensemble, quantum entanglement between a photon and an atomic spin-wave memory has been produced. With the further development of quantum information, it is necessary to put forward higher requirements for the diversity and controllability of quantum memory. In this paper, we experimentally demonstrate a fiber-cavity enhanced and high-fidelity optical memory in cold atomic ensemble for the first time. We design a fiber cavity to enhance the coupling strength between light and atomic ensemble and then improve the optical retrieval efficiency. Unfortunately, the use of fiber cavity may lead to the decrease of fidelity. Therefore, it is vital important to realize high fidelity in fiber-cavity enhanced optical memory. The cavity has a round-trip length of 1.5 m and a free spectral range of 190 MHz. The finesse (<em>F</em>) of the cavity with the cold atoms in the DLCZ condition is measured to be ~18. In cavity-enhanced DLCZ scheme, we use a fiber cavity instead of a stationary cavity. If a stationary cavity is used, the signal light will be reflected by the end mirror of the cavity and then pass back through the atoms. The storage of the backward signal light will generate a short-wavelength spin wave and then lead to a rapid decoherence of the memory. When cavity is locked with PDH frequency locking technique, we observe that the production probability of the Stokes photons is 4.6 times higher and retrieval efficiency of atomic spin wave is increased by a factor 1.6 than that without cavity due to the optical cavity enhancement effect. The presented cavity-enhanced storage shows that the retrieval efficiency is ~22%, corresponding to an intrinsic retrieval efficiency of ~40%, at the same time the fidelity of the quantum state is ~92%. The accomplish of this project will provide another effective way for the realization of long-distance quantum communication and large scale quantum network construction.

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Li, Jianduo, Yanjun Gan, Guo Zhang, Jiaojiao Gou, Xingjie Lu e Chiyuan Miao. "Quantifying the Interactions of Noah‐MP Land Surface Processes on the Simulated Runoff Over the Tibetan Plateau". Journal of Geophysical Research: Atmospheres 129, n. 7 (8 aprile 2024). http://dx.doi.org/10.1029/2023jd040343.

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AbstractThe quantification of uncertainties in runoff over the Tibetan Plateau (TP), simulated by land surface models (LSMs), is of paramount importance for effective water resources management within this region. However, the interactions of land surface processes on simulated runoff, where the effectiveness of one process depends on the chosen scheme for another, have rarely been studied. To address this gap, we conducted ensemble simulations with the Noah‐MP (Noah with multiparameterization) LSM by varying the optional parameterization schemes of six land surface processes and quantified the sensitivities of the simulated runoff to these processes. Results showed that the simulated runoff over the TP was most sensitive to the RUN (runoff‐groundwater) process. The interplay of RUN and FRO (frozen soil permeability) accounted for up to 30% of the variation in the annual mean surface runoff in the TP's permafrost regions. The interactions of RUN and VEG (dynamic vegetation) on summer and autumn subsurface runoff exceeded 10% in the southeast TP. In regions where these interactions among land surface processes significantly affected simulated runoff, we observed elevated model errors and reduced model controllability. Therefore, this study underscores the imperative need to categorize land regions based on the interactions of land surface processes as a foundational step toward enhancing the performance of LSMs. Prioritizing improvements in model physics should be particularly directed toward regions marked by high interactions.

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Leventides, J., N. Karcanias e N. C. Poulios. "The notion of almost zeros and randomness". IMA Journal of Mathematical Control and Information, 22 aprile 2021. http://dx.doi.org/10.1093/imamci/dnab008.

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Abstract We investigate the problem of almost zeros of polynomial matrices as used in system theory. It is related to the controllability and observability notion of systems as well as the determination of Macmillan degree and complexity of systems. We also present some new results on this important invariant in the light of randomness and we prove an uncertainty type relation appearing in such ensembles of operators.