Suchergebnisse - "Quantum approximate optimization algorithm"

QUBO Formulations and Characterization of Penalty Parameters for the Multi-Knapsack Problem

Autoren: Evren Güney Joachim Ehrenthal Thomas Hanne et al.

Weitere Verfasser: Evren Güney Joachim Ehrenthal Thomas Hanne et al.

Quelle: IEEE Access, Vol 13, Pp 47086-47098 (2025)

Schlagwörter: Optimization, Quantum Approximate Optimization Algorithm, multiple knapsack problem, Penalty Parameters, quantum annealing, Logic Gates, Tuning, quadratic unconstrained binary optimization, quantum approximate optimization algorithm, Annealing, TK1-9971, penalty parameters, Quantum State, 330 - Wirtschaft, Multiple Knapsack Problem, Quadratic Unconstrained Binary Optimization, Multi-Dimensional Knapsack Problem, Quantum Computing, Qubit, Electrical engineering. Electronics. Nuclear engineering, Noise, Approximation Algorithms, Multi-dimensional knapsack problem, Quantum Annealing

Zugangs-URL: https://doaj.org/article/d6098ac03ea041ddacdf492b2061d035

Quantum Approaches to the 0/1 Multi-Knapsack Problem: QUBO Formulation, Penalty Parameter Characterization and Analysis

Autoren: Güney, Evren Ehrenthal, J. Hanne, T. et al.

Weitere Verfasser: Güney, Evren Ehrenthal, J. Hanne, T. et al.

Quelle: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. :815-823

Schlagwörter: Multi-Knapsack Problem, Quantum Approximate Optimization Algorithm, Gate-Based Quantum Computing, Quadratic Unconstrained Binary Optimization, Quantum Simulation, Quantum Annealing

Problem-structure-informed quantum approximate optimization for large-scale unit commitment with limited qubits

Autoren: Jingxian Zhou Ziqing Zhu Linghua Zhu et al.

Quelle: iEnergy, Vol 4, Iss 4, Pp 215-218 (2025)

Schlagwörter: unit commitment problem, quadratic unconstrained binary optimization, quantum approximate optimization algorithm, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

Dateibeschreibung: electronic resource

Relation: https://www.sciopen.com/article/10.23919/IEN.2025.0025; https://doaj.org/toc/2771-9197

Zugangs-URL: https://doaj.org/article/eb99809a8f5a4bf39a8f5f9d7e7338d8

Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications

Autoren: Tuan Hai Vu Vu Trung Duong Le Hoai Luan Pham et al.

Quelle: IEEE Open Journal of the Computer Society, Vol 6, Pp 1146-1154 (2025)

Schlagwörter: variational quantum eigensolver, Electronic computers. Computer science, dynamic simulation, Optimizer, benchmarking, QA75.5-76.95, Information technology, T58.5-58.64, quantum approximate optimization algorithm, quantum simulator

Zugangs-URL: https://doaj.org/article/2152dbb9664a44068d0e8e796a30bf35

Quantum Algorithms for the Physical Layer: Potential Applications to Physical Layer Security

Autoren: Toshiki Matsumine Hideki Ochiai Junji Shikata

Quelle: IEEE Access, Vol 13, Pp 13988-14009 (2025)

Schlagwörter: Hybrid quantum-classical algorithms, quantum approximate optimization algorithm (QAOA), quantum annealing (QA), multi-input multi-output (MIMO), physical layer security (PLS), Electrical engineering. Electronics. Nuclear engineering, quantum algorithms, TK1-9971

Zugangs-URL: https://doaj.org/article/5f223689457b46138f6f53c3b4b1915b

Quantum Machine Learning Algorithms for Big Data Processing

Autoren: Sarah L. Johnson

Quelle: International Journal of Innovative Computer Science and IT Research. 1:1-11

Schlagwörter: Quantum Machine Learning (QML), Quantum Computing, Big Data Processing, Quantum Support Vector Machines (QSVM), Quantum Principal Component Analysis (QPCA), Quantum k-Means Clustering, Quantum Approximate Optimization Algorithm (QAOA)

Energy Distribution Optimization Using Variational Quantum Algorithms

Autoren: Rubiños Rodríguez, Guillermo Blázquez Gil, Gonzalo García-Santiago, Xela et al.

Quelle: RUC. Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)

Schlagwörter: Quantum computing, Noisy Intermediate-Scale Quantum (NISQ) technology, Quantum Approximate Optimization Algorithm (QAOA)

Zugangs-URL: http://hdl.handle.net/2183/41039

A quantum approximate optimization method for finding Hadamard matrices

Autoren: Andriyan Bayu Suksmono

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Schlagwörter: Quantum computing, Hard problems, Hadamard matrix, Quantum annealing, QAOA, Quantum approximate optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/7806ec9b7e0247648c787b474a20c5db

Optimizing resource allocation in precision farming using quantum enhanced algorithms and quantum sensor networks

Autoren: Hatoon S. AlSagri Ankit Kumar Abdul Khader Jilani Saudagar et al.

Quelle: Journal of Cloud Computing: Advances, Systems and Applications, Vol 14, Iss 1, Pp 1-29 (2025)

Schlagwörter: Quantum computing, Precision agriculture, Resource optimization, Quantum sensor networks (QSNs), Quantum approximate optimization algorithm (QAOA), Quantum gradient allocation optimizer (QGAO), Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2192-113X

Zugangs-URL: https://doaj.org/article/940c556460134e84ba036ac0235b1426

Encodings of the weighted MAX k-CUT problem on qubit systems

Autoren: Franz G. Fuchs Ruben Pariente Bassa Frida Lien

Quelle: Frontiers in Quantum Science and Technology, Vol 4 (2025)

Schlagwörter: quantum optimization algorithm, quantum circuit compilation, quantum approximate optimization algorithm, quantum technologies, variational quantum circuits, Technology

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frqst.2025.1636042/full; https://doaj.org/toc/2813-2181

Zugangs-URL: https://doaj.org/article/878f89d7db8644aab4d4839c79c21f54

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm

Autoren: Lavagna L. Ceschini A. Rosato A. et al.

Quelle: 2024 International Joint Conference on Neural Networks (IJCNN). :1-8

Schlagwörter: quantum approximate optimization algorithm, layerwise-multi-angle approach, quantum computing

Dateibeschreibung: application/pdf

An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization

Autoren: Junsen Xiao Naruethep Sukulthanasorn Reika Nomura et al.

Quelle: Advanced Modeling and Simulation in Engineering Sciences, Vol 12, Iss 1, Pp 1-25 (2025)

Schlagwörter: Quantum Approximate Optimization Algorithm, Structural optimization, On-off encoding, Fixed linear ramp schedule, Mechanics of engineering. Applied mechanics, TA349-359, Systems engineering, TA168

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2213-7467

Zugangs-URL: https://doaj.org/article/3257d772ed064f5a86fed12a0aff4e31

Protein structure prediction and design on near-term quantum computers

Autoren: Linn, Hanna, 1995

Quelle: Wallenberg Centre for Quantum Technology (WACQT).

Schlagwörter: variational quantum algorithms, quantum approximate optimization algorithm, hardware-efficient ansatz, protein design, quantum walk, life science, protein structure prediction, near-term intermediate-scale quantum devices, protein folding

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/548680
https://research.chalmers.se/publication/548680/file/548680_Fulltext.pdf

Quantum Optimization Methods for Satellite Mission Planning

Autoren: Antón Makarov Carlos Pérez-Herradón Giacomo Franceschetto et al.

Weitere Verfasser: Antón Makarov Carlos Pérez-Herradón Giacomo Franceschetto et al.

Quelle: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
IEEE Access, Vol 12, Pp 71808-71820 (2024)

Schlagwörter: Earth observation, Quantum Physics, Combinatorial optimization, Quantum approximate optimization algorithm, General Computer Science, Quantum annealing, quantum annealing, General Engineering, FOS: Physical sciences, earth observation, Quantum computing, quantum approximate optimization algorithm, quantum computing, TK1-9971, satellite mission planning, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Satellite mission planning, Quantum Physics (quant-ph)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2404.05516
http://hdl.handle.net/10261/366405
https://hdl.handle.net/11556/4880
https://doaj.org/article/63636af943794d5f8e2225b3504fbc76

A review on Quantum Approximate Optimization Algorithm and its variants

Autoren: Blekos, Kostas Brand, Dean Ceschini, Andrea et al.

Quelle: Physics Reports. 1068:1-66

Schlagwörter: Quantum Physics, FOS: Physical sciences, Quantum Approximate Optimization Algorithm (QAOA), Variational Quantum Algorithms (VQAs), quantum optimization, combinatorial optimization problems, NISQ algorithms, Quantum Physics (quant-ph)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2306.09198
https://hdl.handle.net/11573/1714257
https://doi.org/10.1016/j.physrep.2024.03.002

Network-Assisted Collective Operations for Efficient Distributed Quantum Computing

Autoren: Iago Fernandez Llovo Diaz-Camacho Guillermo Natalia Costas Lago et al.

Quelle: IEEE Transactions on Quantum Engineering, Vol 6, Pp 1-14 (2025)

Schlagwörter: Distibuted quantum computing (DQC), Grover's search algorithm, quantum approximate optimization algorithm (QAOA), quantum networking, teleportation, Atomic physics. Constitution and properties of matter, QC170-197, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11197054/; https://doaj.org/toc/2689-1808

Zugangs-URL: https://doaj.org/article/7fcee6326197408e96b4a2479c76194a

Quantum Computing-Based Search Method for Transmission Sections

Autoren: Dabo Zhang Pengjie Yu Weichao Xu et al.

Quelle: IEEE Access, Vol 13, Pp 173629-173639 (2025)

Schlagwörter: Quantum approximate optimization algorithm, key transmission section, differential gradient descent, quantum parameters, expected cut value, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11180006/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/c130abbc15e44079bbb76715b1796647

Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms

Autoren: Claudio Cicconetti

Quelle: IEEE Transactions on Quantum Engineering, Vol 6, Pp 1-13 (2025)

Schlagwörter: High-performance computing (HPC), hybrid computing, quantum approximate optimization algorithm (QAOA), quantum computing, quantum optimization, serverless computing, Atomic physics. Constitution and properties of matter, QC170-197, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10989577/; https://doaj.org/toc/2689-1808

Zugangs-URL: https://doaj.org/article/b76a1f6b89774f64bb64cfba4cd1bc7a

Quantum Algorithms’ Approach: A Case Study on Bladeless Wind Turbine and Solar Panel

Autoren: Piyush Kumar Sinha R. Marimuthu

Quelle: IEEE Access, Vol 13, Pp 85951-85966 (2025)

Schlagwörter: Bladeless wind turbine, quantum approximate optimization algorithm, quantum amplitude estimation, solar panel, variational quantum deflation, variational quantum eigensolver, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11005493/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/d31fc546f78d48d99172ea3100d762f1

Quantum Optimization for Phase Unwrapping in SAR Interferometry

Autoren: Kay Glatting Jan Meyer Sigurd Huber et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 3488-3500 (2025)

Schlagwörter: Interferometric synthetic aperture radar (InSAR), phase unwrapping (PU), quantum approximate optimization algorithm (QAOA), quantum computing, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10806567/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Zugangs-URL: https://doaj.org/article/1d6226346b0f44d38d6624fefd817f32