Titlebook: Computational Science – ICCS 2021; 21st International C Maciej Paszynski,Dieter Kranzlmüller,Peter M. A. S Conference proceedings 2021 Spri

Orthosis

书目名称Computational Science – ICCS 2021影响因子(影响力)




书目名称Computational Science – ICCS 2021影响因子(影响力)学科排名




书目名称Computational Science – ICCS 2021网络公开度




书目名称Computational Science – ICCS 2021网络公开度学科排名




书目名称Computational Science – ICCS 2021被引频次




书目名称Computational Science – ICCS 2021被引频次学科排名




书目名称Computational Science – ICCS 2021年度引用




书目名称Computational Science – ICCS 2021年度引用学科排名




书目名称Computational Science – ICCS 2021读者反馈




书目名称Computational Science – ICCS 2021读者反馈学科排名

宠爱

OnCall Operator Scheduling for Satellites with Grover’s Algorithmesigned to search an unstructured database with quadratic speedup, to find valid a solution for an instance of the on-call operator scheduling problem at the German Space Operation Center. We explore new approaches in encoding the problem and construct the Grover oracle automatically from the given

寡头政治

Multimodal Container Planning: A QUBO Formulation and Implementation on a Quantum Annealerptimisation, where the Quadratic Unconstrained Binary Optimisation (QUBO) problem formulation is used to get good approximate solutions. Both the universal quantum computer as well as the quantum annealer can handle this kind of problems well. In this paper, we present an application on multimodal c

N防腐剂

Portfolio Optimisation Using the D-Wave Quantum Annealere Portfolio Optimisation problem. Here, a set of assets is chosen for investment, such that the total risk is minimised, a minimum return is realised and a budget constraint is met. This problem is solved for several instances in two main indices, the Nikkei225 and the S&P500 index, using the state-

omnibus

Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealingntly improved solution quality when run on D-Wave’s quantum annealing hardware and the numerical computation of the eigenspectrum reveals that the solution quality is correlated with a larger minimum spectral gap. The experiments were conducted based on the Knapsack-, Minimum Exact Cover- and Set Pa

Irremediable

Classification Using a Two-Qubit Quantum Chipputers do not exist yet, its expected benefits for machine learning can already be shown using simulators and already available quantum hardware. In this work, we consider a distance-based classification algorithm and modify it to be run on actual early stage quantum hardware. We extend upon earlier

Irremediable

Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer. Here, data points are classified by a separating hyperplane while maximizing the function margin. The problem is solved for a public Banknote Authentication dataset and the well-known Iris Dataset using a classical approach, simulated annealing, direct embedding on the Quantum Processing Unit and

JAUNT

Eosinophils

EntDetector: Entanglement Detecting Toolbox for Bipartite Quantum Statesaphy and other quantum algorithms. On the other hand, however, it is still an unresolved problem, especially in the area of entanglement detection methods. In this article, we present a computational toolbox which offers a set of currently known methods for detecting entanglement, as well as proposa

健忘症

On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of ge of users. Along with the physical advances, the landscape of technologies supporting quantum application development has also grown rapidly in recent years. However, there is a variety of tools, services, and techniques available for the development of quantum applications, and which ones are bes