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Distributed entanglement generation from asynchronously excited qubits

Frontiers of physics 2022年第4期17卷 107-113页

作者： Tian-Tian Huan Rigui Zhou Hou Ian Institute of Applied Physics and Materials Engineering University of MacaoMacaoChina College of Mathematics and Computer Science Chifeng UniversityChifeng 024000China College of Information Engineering Shanghai Maritime UniversityShanghai 201306China

The generation of GHZ states calls for simultaneous excitation of multiple *** peculiarity of such states is reflected in their nonzero distributed entanglement which is not contained in other entangled *** study the optimal way to excite three superconducting qubits through a common cavity resonator in a circuit such that the generation of distributed entanglement among them could be obtained at the highest degree in a time-controllable way.A non-negative measure quantifying this entanglement is derived as a time function of the quadripartite system *** find that this measure does not stay static but obtains the same maximum *** the qubit-resonator couplings are allowed to vary,its peak value is enhanced monotonically by increasing the greatest coupling strength to one of the *** period of its peak to peak revival maximizes when the couplings become inhomogeneous,thus qubit excitation becoming asynchronous,at a relative ratio of *** study demonstrates the role of asynchronous excitations for time-controlling multi-qubit systems,in particular in extending entanglement time.

关键词： dynamic entanglement asynchronous excitation

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Quality and Efficiency of Manual Annotation: Pre-annotation Bias 13

Quality and Efficiency of Manual Annotation: Pre-annotation ...

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13th International Conference on Language Resources and Evaluation Conference, LREC 2022

作者： Mikulová, Marie Straka, Milan Štěpánek, Jan Štěpánková, Barbora Hajič, Jan Institute of Formal and Applied Linguistics Computer Science School Faculty of Mathematics and Physics Charles University Prague Czech Republic

ISBN: (纸本)9791095546726

This paper presents an analysis of annotation using an automatic pre-annotation for a mid-level annotation complexity task - dependency syntax annotation. It compares the annotation efforts made by annotators using a pre-annotated version (with a high-accuracy parser) and those made by fully manual annotation. The aim of the experiment is to judge the final annotation quality when pre-annotation is used. In addition, it evaluates the effect of automatic linguistically-based (rule-formulated) checks and another annotation on the same data available to the annotators, and their influence on annotation quality and efficiency. The experiment confirmed that the pre-annotation is an efficient tool for faster manual syntactic annotation which increases the consistency of the resulting annotation without reducing its quality. © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

关键词： Efficiency

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PARALLEL SCALABILITY OF THREE-LEVEL FROSch PRECONDITIONERS TO 220000 CORES USING THE THETA SUPERcomputer

PARALLEL SCALABILITY OF THREE-LEVEL FROSch PRECONDITIONERS T...

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作者： Heinlein, Alexander Rheinbach, Oliver Rover, Friederike Delft University of Technology Faculty of Electrical Engineering Mathematics & Computer Science Delft Institute of Applied Mathematics Mekelweg 4 Delft2628 CD Netherlands Technische Universität Bergakademie Freiberg Freiberg09596 Germany

The parallel performance of the three-level fast and robust overlapping Schwarz (FROSch) preconditioners is investigated for linear elasticity. The FROSch framework is part of the Trilinos software library and contains a parallel implementation of different preconditioners with energy minimizing coarse spaces of generalized Dryja-Smith-Widlund type. The three-level extension is constructed by a recursive application of the FROSch preconditioner to the coarse problem. In this paper, the additional steps in the implementation in order to apply the FROSch preconditioner recursively are described in detail. Furthermore, it is shown that no explicit geometric information is needed in the recursive application of the preconditioner. In particular, the rigid body modes, including the rotations, can be interpolated on the coarse level without additional geometric information. Parallel results for a three-dimensional linear elasticity problem obtained on the Theta supercomputer (Argonne Leadership Computing Facility, Argonne, IL) using up to 220 000 cores are discussed and compared to results obtained on the SuperMUC-NG supercomputer (Leibniz Supercomputing Centre, Garching, Germany). Notably, it can be observed that a hierarchical communication operation in FROSch related to the coarse operator starts to dominate the computing time on Theta, which has a dragonfly interconnect, for 100 000 message passing interface (MPI) ranks or more. The same operation, however, scales well and stays within the order of a second in all experiments performed on SuperMUC-NG, which uses a fat tree network. Using hybrid MPI/OpenMP parallelization, the onset of the MPI communication problem on Theta can be delayed. Further analysis of the performance of FROSch on large supercomputers with dragonfly interconnects will be necessary. © 2022 Alexander Heinlein, Oliver Rheinbach, and Friederike Röver.

关键词： Supercomputers

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Modeling, Experimental Simulations And Probability Estimation Upon A Computationally-Efficient Discretization Algorithm For Jump-Type Lévy Processes 8

Modeling, Experimental Simulations And Probability Estimatio...

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8th International Symposium on Electrical and Electronics Engineering, ISEEE 2023

作者： Sbirna, Sebastian Sbirna, Liana-Simona Technical University of Denmark Institute of Applied Mathematics and Computer Science Dtu Compute Department Kongens Lyngby Denmark University of Craiova Faculty of Sciences Department of Chemistry Craiova Romania

ISBN: (纸本)9798350301670

The present work aims at modeling, experimentally simulating and then implementing a computationally-efficient algorithm for jump-type Lévy processes. Within the paper, a pseudocode version for discretizing the continuous Brownian motion component of the Lévy processes is presented. The study also analyzes, through simulation experiments, the effect of each of the three process components upon the overall motion variance, slope and volatility of the result. Further model experiments are performed by tuning the jump size of the internal Poisson component, using four different types of distributions - namely: exponential, hyperexponential, normal and Pareto, in order to study the behavior of the Lévy processes. Finally, first-passage probabilities are estimated upon all these four distributions, which have many applications in financial and economics fields, as well as in the fields of mathematics, physics and engineering. © 2023 IEEE.

关键词： Brownian movement

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Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by yeo-johnson transformation and coral reefs optimization

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第10期16卷 3982-4003页

作者： Libing Yang Trung Nguyen-Thoi Trung-Tin Tran College of Civil Engineering and Architecture Hunan Institute of Science and TechnologyYueyang414006China Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam Department of Information Technology Greenwich VietnamFPT UniversityDa Nang550000Viet Nam

The accurate prediction of the friction angle of clays is crucial for assessing slope stability in engineering *** study addresses the importance of estimating the friction angle and presents the development of four soft computing models:YJ-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** of all,the Yeo-Johnson(YJ)transformation technique was used to stabilize the variance of data and make it more suitable for parametric statistical models that assume normality and equal *** technique is expected to improve the accuracy of friction angle prediction *** friction angle prediction models then utilized multi-layer perceptron neural networks(MLPnet)and metaheuristic optimization algorithms to further enhance performance,including flower pollination algorithm(FPA),coral reefs optimization(CRO),ant colony optimization continuous(ACOC),and cuckoo search algorithm(CSA).The prediction models without the YJ technique,***-MLPnet,CRO-MLPnet,ACOC-MLPnet,and CSA-MLPnet,were then compared to those with the YJ technique,***-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** these,the YJ-CRO-MLPnet model demonstrated superior reliability,achieving an accuracy of up to 83%in predicting the friction angle of clay in practical engineering *** improvement is significant,as it represents an increase from 1.3%to approximately 20%compared to the models that did not utilize the YJ transformation technique.

关键词： Natural hazards Slope stability Friction angle Clay Soft computing models Geotechnical engineering

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Implementation and performance analysis of sequential versus parallelized algorithms for solving multivariate equations of CFD Poisson processes 27

Implementation and performance analysis of sequential versus...

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27th International Conference on System Theory, Control and Computing, ICSTCC 2023

作者： Sbîrnă, Sebastian Sbîrnă, Liana-Simona DTU Compute Department Institute of Applied Mathematics and Computer Science Technical University of Denmark Kongens Lyngby Denmark Department of Chemistry Faculty of Sciences University of Craiova Craiova Romania

ISBN: (纸本)9798350337983

The present work aims to find computationally-efficient models for solving discretized partial differential equations. To accomplish that, we implement and compare the performance of a series of algorithmic models, both sequential and parallelized (using OpenMP libraries), which may be used for solving convergence problems. For demonstrating the results upon a real-world case scenario, the work introduces a CFD (computational fluid dynamics) Poisson process, which is numerically discretized and approximated using Jacobi and Gauss-Seidel algorithms. Performance of the parallelized implementations will be measured against a baseline, and the consequent model optimizations will be described. Finally, the scalability of the parallelized algorithms will be compared together, with regards to CPU thread count and memory handling. The results show that, compared with a sequential version, a parallelized Jacobi algorithm shows strong performance and scalability when introducing more threads. At the same time, a parallelized version of the Gauss-Seidel algorithm did not present substantial increases in performance over its sequential counterpart. © 2023 IEEE.

关键词： Computational fluid dynamics

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Effect of Credit Financing on the Supply Chain for Imperfect Deteriorating Items with Carbon Emission 11

Effect of Credit Financing on the Supply Chain for Imperfect...

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11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Mittal, Mandeep Chauhan, Sudhir Kumar Rastogi, Shivangi School of Computer Science Engineering and Technology Bennett University Department of Mathematics Uttar Pradesh Greater Noida India Amity University Uttar Pradesh Aias Department of Mathematics Noida India Amity Institute of Applied Sciences Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798350350357

The sustainable inventory model is a framework designed to ensure manufacturing processes' sustainability while maintaining profitability. During manufacturing, some items may experience degradation, resulting in imperfect goods. Nevertheless, a screening process is implemented to eliminate such items before they reach the consumers. Therefore, it is critical to scrutinize items prone to deterioration thoroughly. Suppliers prioritize trade credit in payments when supplying retailers, necessitating the development of an inventory model that caters to the needs of retailers dealing with imperfect and deteriorating quality items while considering carbon emissions and trade credit as a payment. The study presents numerical illustrations and sensitivity analysis for a better understanding of the model. © 2024 IEEE.

关键词： Supply chains

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Existence of solutions to the generalized periodic fractional boundary value problem

Existence of solutions to the generalized periodic fractiona...

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作者： Fečkan, Michal Marynets, Kateryna Wang, JinRong Department of Mathematical Analysis and Numerical Mathematics Comenius University in Bratislava Bratislava Slovakia Mathematical Institute of Slovak Academy of Sciences Bratislava Slovakia Delft Institute of Applied Mathematics Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Department of Mathematics Guizhou University Guiyang China

We study a boundary value problem for a Caputo-type fractional differential equation subjected to periodic boundary conditions. For an auxiliary problem with the simplified right-hand side, we explicitly construct its unique solution. In addition, based on the theory of the topological index, we prove existence of at least one solution to the original problem. © 2023 The Authors. Mathematical Methods in the applied sciences published by John Wiley & Sons Ltd.

关键词： Boundary value problems

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Incremental Learning Strategy with Multi-dimensional Knowledge Distillation for One-stage Object Detection 22

Incremental Learning Strategy with Multi-dimensional Knowled...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Li, Yimeng Liu, Xuejiao Xiang, Xueshuang Tan, Yu-An Meng, Weizhi School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing China Department of Applied Mathematics and Computer Science Technical University of Denmark Kongens Lyngby Denmark

ISBN: (纸本)9798331527471

In practical applications, object detectors often encounter unknown classes samples. As object detection datasets undergo continuous development, the need arises for object detectors to adeptly recognize an escalating array of new classes while retaining the original detection capability. This paper introduces a new class incremental object detection learning framework with multi-dimensional knowledge distillation, using Yolov5 as the foundational detection model. Specifically, we utilize local feature distillation, attention distillation and global feature distillation to preserve information in the original model’s feature maps. Additionally, we employ response distillation to ensure the model remains responsive to previous classes. In comparison to the state-of-the-art methods, our approach achieves higher overall accuracy on PASCAL VOC 2007. Especially in the "19+1" incremental task, our approach gets the highest mAP@0.5 of 0.697 with a minimum mean AP decline rate of 4.45%. For the "4+3" and "6+1" tasks on KITTI, our approach preserves the model’s responsiveness to the original task more effectively while achieving the highest overall accuracy. © 2024 IEEE.

关键词： Contrastive Learning

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Invariance properties of the solution operator for measure-valued semilinear transport equations

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Analysis and Mathematical Physics 2025年第4期15卷 1-31页

作者： Hille, Sander C. Lyons, Rainey Muntean, Adrian Mathematical Institute Leiden University Leiden The Netherlands Department of Applied Mathematics University of Colorado Boulder Boulder USA Department of Mathematics and Computer Science Karlstad University Karlstad Sweden

We provide conditions under which we prove for measure-valued transport equations with non-linear reaction term in the space of finite signed Radon measures, that positivity is preserved, as well as absolute continuity with respect to Lebesgue measure, if the initial condition has that property. Moreover, if the initial condition has $$L^p$$ regular density, then the solution has the same property.

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