Suchergebnisse - "Quantum optimization algorithms"

Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm von Acampora, Giovanni, Chiatto, Angela, Vitiello, Autilia

“… Optimization is one of the research areas where quantum computing could bring significant benefits. In this scenario, a hybrid quantum–classical variational …”
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Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm von Urgelles, Helen, Picazo-Martinez, Pablo, Garcia-Roger, David, Monserrat, Jose F.

“… Sixth-generation wireless (6G) technology has been focused on in the wireless research community. Global coverage, massive spectrum usage, complex new …”
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Quantum optimization algorithms for CT image segmentation from X-ray data von Jun, Kyungtaek, Lee, Hyunju

“… Computed tomography (CT) is an important imaging technique used in medical analysis of the internal structure of the human body. Previously, image segmentation …”
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First Attempts at Cryptanalyzing a (Toy) Block Cipher by Means of Quantum Optimization Approaches von Phab, Luca, Louise, Stéphane, Sirdey, Renaud

“… The discovery of quantum algorithms that may impact cryptography is one of the main reasons for the rise of quantum computing. Currently, all quantum …”
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Quantum Computing for Intelligent Transportation Systems: VQE-Based Traffic Routing and EV Charging Scheduling von Khalid, Uman, Paracha, Usama Inam, Rizvi, Syed Muhammad Abuzar, Shin, Hyundong

“… Complex optimization problems, such as traffic routing and electric vehicle (EV) charging scheduling, are becoming increasingly challenging for intelligent …”
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Quantum-Based Maximum Likelihood Detection in MIMO-NOMA Systems for 6G Networks von Urgelles, Helen, Garcia-Roger, David, Monserrat, Jose F.

“… As wireless networks advance toward the Sixth Generation (6G), which will support highly heterogeneous scenarios and massive data traffic, conventional …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach von Yu, Gui, Luo, Zhenlin

“… In the contemporary global economic landscape, financial fraud represents a significant challenge, resulting in substantial losses for market participants, …”
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Feature Papers in Communications Section 2022

“… This reprint collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential …”
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A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues von Edalatpanah, Seyyed Ahmad, Hassani, Farnaz Sheikh, Smarandache, Florentin, Sorourkhah, Ali, Pamucar, Dragan, Cui, Bing

“… Rising market demands, economic pressures, and technological advancements have spurred researchers to seek ways to enhance business environments and scientific …”
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A quantum-clustering optimization method for COVID-19 CT scan image segmentation von Singh, Pritpal, Bose, Surya Sekhar

“… The World Health Organization (WHO) has declared Coronavirus Disease 2019 (COVID-19) as one of the highly contagious diseases and considered this epidemic as a …”
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The Fast Forward Quantum Optimization Algorithm: A study of convergence and novel unconstrained optimization von Singh, Pritpal

“… The Fast Forward Quantum Optimization Algorithm (FFQOA) is a novel quantum-inspired heuristic search algorithm, drawing inspiration from the movement and …”
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A new hybrid time series forecasting model based on the neutrosophic set and quantum optimization algorithm von Singh, Pritpal, Huang, Yo-Ping

“… •A new neutrosophic set based time series forecasting model is proposed.•A quantum optimization algorithm is used to improve the accuracy.•The proposed model …”
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Deep learning-enhanced quantum optimization for integrated job scheduling in container terminals von Cuong, Truong Ngoc, Kim, Hwan-Seong, Bao Long, Le Ngoc, You, Sam-Sang, Tan, Nguyen Duy

“… This study explored the challenge of multi-equipment collaborative scheduling and management within container terminals, focusing on essential equipment such …”
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Solving multi-objective optimization problem of convolutional neural network using fast forward quantum optimization algorithm: Application in digital image classification von Singh, Pritpal, Muchahari, Monoj Kumar

“… Convolutional neural network (CNN) has evolved as a new algorithm that has demonstrated its effectiveness in real-time issue solving over many other machine …”
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New Quantum Genetic Algorithm Based on Constrained Quantum Optimization von Almasaoodi, Mohammed R., Sabaawi, Abdulbasit M. A., Gaily, Sara El, Imre, Sándor

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A survey of analysis on quantum algorithms for communication von Yuhong, Huang, Chunfeng, Cui, Chengkang, Pan, Shuai, Hou, Zhiwen, Sun, Xian, Lu, Xinying, Li, Yifei, Yuan

“… Quantum computing is a promising technology that has the potential to revolutionize many areas of science and technology, including communication. In this …”
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Quantum adaptive search: a hybrid quantum-classical algorithm for global optimization of multivariate functions von Intoccia, Gabriele, Chirico, Ugo, Schiano Di Cola, Vincenzo, Pepe, Giovanni Piero, Cuomo, Salvatore

“… IntroductionWe present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method …”
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Research on Application of Improved Quantum Optimization Algorithm in Path Planning von Du, Zuoqiang, Li, Hui

“… For the building emergency evacuation path planning problem, existing algorithms suffer from low convergence efficiency and the problem of getting trapped in …”
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A Type-2 Fuzzy Clustering and Quantum Optimization Approach for Crops Image Segmentation von Huang, Yo-Ping, Singh, Pritpal, Kuo, Wen-Lin, Chu, Hung-Chi

“… Automatic detection of crop yield ripeness is a tedious task because of the presence of various intensities of color in crops. One of the solutions to this …”
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Constrained Quantum Optimization for Resource Distribution Management von Gaily, Sara El, Imre, Sándor

“… The cloud computing field suffers from the heavy processing caused by the exponentially increasing data traffic. Therefore, optimizing the network performance …”
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