Suchergebnisse - "quadratic unconstrained binary optimization"

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

Combinatorial optimization with quantum computers

Autoren: Francisco Chicano Gabiel Luque Zakaria Abdelmoiz Dahi et al.

Quelle: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Schlagwörter: Quantum optimization, FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), Computación cuántica, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum computing, Quantum Physics (quant-ph), Proceso de datos, Quantum annealer, Quadratic unconstrained binary optimization

Zugangs-URL: http://arxiv.org/abs/2412.15778
https://hdl.handle.net/10630/38123

Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading

Autoren: Jinghui Wu Wenjun Zhu Yun Xu et al.

Quelle: IEEE Access, Vol 13, Pp 72279-72291 (2025)

Schlagwörter: quantum annealing (QA), real-time energy market trading, quadratic unconstrained binary optimization (QUBO), Electrical engineering. Electronics. Nuclear engineering, Proximal policy optimization (PPO), trading strategy optimization, TK1-9971

Zugangs-URL: https://doaj.org/article/ec9e417bf13d41b29d4c16375405f5cb

Modeling Energy Community Operations as a QUBO Problem for Quantum Optimization

Autoren: García-Santiago, Xela Alonso, Mateo Rubiños Rodríguez, Guillermo et al.

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

Schlagwörter: Quadratic Unconstrained Binary Optimization (QUBO), European Green Deal

Zugangs-URL: http://hdl.handle.net/2183/41038

Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields

Autoren: Shih-Cheng Li Pei-Hua Wang Jheng-Wei Su et al.

Quelle: Journal of Cheminformatics, Vol 17, Iss 1, Pp 1-16 (2025)

Schlagwörter: Chemical reaction, Optimal condition, Quantum optimization, Machine learning, Quadratic unconstrained binary optimization, QUBO, Information technology, T58.5-58.64, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1758-2946

Zugangs-URL: https://doaj.org/article/40a14525b6f745e9b5dd48668c0a7b91

Quantum Signal Processing Based Grover's Adaptative Search Oracle for High Order Unconstrained Binary Optimization Problems

Autoren: Robin OLLIVE Stephane LOUISE CEA, Contributeur MAP

Weitere Verfasser: Robin OLLIVE Stephane LOUISE CEA, Contributeur MAP

Quelle: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). :256-261

Schlagwörter: Quadratic Unconstrained Binary Optimization (QUBO), High order Unconstrained Binary Optimization (HUBO), [MATH.MATH-QA] Mathematics [math]/Quantum Algebra [math.QA], Grover's Adaptative Search (GAS), [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], Quantum Signal Processing (QSP), [PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]

Dateibeschreibung: application/pdf

Zugangs-URL: https://cea.hal.science/cea-04975090v1
https://cea.hal.science/cea-04975090v1/document
https://doi.org/10.1109/qce60285.2024.10288

Joint generation-transmission expansion planning in renewables-dominated power systems based on hybrid quantum-classical computing

Autoren: Yue Xu Zhiyi Li Xutao Han et al.

Quelle: International Journal of Electrical Power & Energy Systems, Vol 172, Iss , Pp 111115- (2025)

Schlagwörter: Renewables-Dominated Power System, Joint Generation-Transmission Expansion Planning, Quantum-Classical Hybrid Computing, Warm-Starting Quantum Annealing, Quadratic Unconstrained Binary Optimization, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525006635; https://doaj.org/toc/0142-0615

Zugangs-URL: https://doaj.org/article/b6bebe80ff474cfa89b2edc7940d4ac1

QUIRCY: QUantum Integrated ResilienCY for Power Systems

Autoren: Umar T. Salman Zongjie Wang Timothy M. Hansen

Quelle: IEEE Access, Vol 13, Pp 139330-139344 (2025)

Schlagwörter: High-impact low-probability, Harrow-Hassidim-Lloyd algorithm, quadratic unconstrained binary optimization, power system, grid resilience, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11096579/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/ea8e83a947114aa49c1fb5ed359f31d5

Fault Location in Active Distribution Network Under Hybrid Classical Quantum Computing Architecture

Autoren: Yuzhe Xie Xiaoting Yang Qinran Zhu et al.

Quelle: IEEE Access, Vol 12, Pp 163924-163937 (2024)

Schlagwörter: decoupling optimization, distributed generation source, hybrid classical quantum, Electrical engineering. Electronics. Nuclear engineering, Quadratic unconstrained binary optimization problem, distributed idea, TK1-9971

Zugangs-URL: https://doaj.org/article/5af1db03309945149d01540310cf1f42

Benchmarks and Recommendations for Quantum, Digital, and GPU Annealers in Combinatorial Optimization

Autoren: Jehn-Ruey Jiang Yu-Chen Shu Qiao-Yi Lin

Quelle: IEEE Access, Vol 12, Pp 125014-125031 (2024)

Schlagwörter: Combinatorial optimization problem, digital annealer, GPU annealer, quantum annealer, Electrical engineering. Electronics. Nuclear engineering, quadratic unconstrained binary optimization, TK1-9971

Zugangs-URL: https://doaj.org/article/183b5aae46844deebe30c43fe78579a4

QUBO Formulation Using Sequence Pair With Search Space Restriction for Rectangle Packing Problem

Autoren: Akihisa Okada Keisuke Otaki Tadayoshi Matsumori et al.

Quelle: IEEE Access, Vol 12, Pp 156627-156638 (2024)

Schlagwörter: Electrical engineering. Electronics. Nuclear engineering, quadratic unconstrained binary optimization, Rectangle packing problem, sequence pair, TK1-9971

Zugangs-URL: https://doaj.org/article/0c4d52cd8a2741fb854daf99566851c1

Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization

Autoren: David Bucher Jonas Nüßlein Corey O'Meara et al.

Quelle: IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-15 (2024)

Schlagwörter: Quantum Physics, quantum annealing (QA), problem decomposition, Demand-side response (DSR), quantum computing (QC), FOS: Physical sciences, quadratic unconstrained binary optimization (QUBO), 7. Clean energy, 13. Climate action, Optimization and Control (math.OC), smart grids, TA401-492, FOS: Mathematics, Atomic physics. Constitution and properties of matter, Quantum Physics (quant-ph), Materials of engineering and construction. Mechanics of materials, Mathematics - Optimization and Control, QC170-197

Zugangs-URL: http://arxiv.org/abs/2309.05502
https://doaj.org/article/3b2a5ae06dc84cf3b1b20fc56bf8cd9d

Accelerating Grover Adaptive Search: Qubit and Gate Count Reduction Strategies With Higher Order Formulations

Autoren: Yuki Sano Kosuke Mitarai Naoki Yamamoto et al.

Quelle: IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-12 (2024)

Schlagwörter: Quantum Physics, Graph coloring problem (GCP), higher order unconstrained binary optimization (HUBO), TA401-492, FOS: Physical sciences, Grover adaptive search (GAS), quadratic unconstrained binary optimization (QUBO), traveling salesman problem (TSP), Atomic physics. Constitution and properties of matter, Quantum Physics (quant-ph), Materials of engineering and construction. Mechanics of materials, QC170-197

Zugangs-URL: http://arxiv.org/abs/2308.01572
https://doaj.org/article/65632f20c39a487e8421403c4ec56e70

Multidisk Clutch Optimization Using Quantum Annealing

Autoren: John D. Malcolm Alexander Roth Mladjan Radic et al.

Quelle: IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-10 (2024)

Schlagwörter: Quantum Physics, quantum annealing, FOS: Physical sciences, 0102 computer and information sciences, quadratic unconstrained binary optimization (QUBO) formulations, 01 natural sciences, quantum–classical hybrid algorithms, 0103 physical sciences, TA401-492, combinatorial optimization, quantum computing applications, Atomic physics. Constitution and properties of matter, Clutch manufacturing, Quantum Physics (quant-ph), Materials of engineering and construction. Mechanics of materials, QC170-197

Zugangs-URL: http://arxiv.org/abs/2208.05916
https://doaj.org/article/de825f6997664cdc9ef3749eda0dcee0

Mapping Quantum Circuits to Modular Architectures with QUBO

Autoren: Bandic, Medina Prielinger, Luise Nüßlein, Jonas et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Proceedings of the QCE 2023
2023 IEEE International Conference on Quantum Computing and Engineering (QCE)

Schlagwörter: FOS: Computer and information sciences, Quantum Physics, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum computing, Quantum compilation, Computació quàntica, Quadratic Unconstrained Binary Optimization (QUBO), Emerging Technologies (cs.ET), Quantum circuit mapping, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Distributed multicore quantum computing architectures, Quantum Physics (quant-ph), Full-stack quantum computing systems

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2305.06687
https://hdl.handle.net/2117/401575
https://doi.org/10.1109/qce57702.2023.00094

Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop

Autoren: Marco Baioletti Angelo Oddi Riccardo Rasconi

Quelle: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. :2175-2178

Schlagwörter: flexible open-shop, scheduling, quantum circuits, QAOA, quadratic unconstrained binary optimization, quantum computing, adiabatic quantum computing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.14243/522727
https://doi.org/10.1145/3583133.3596420
https://dl.acm.org/doi/10.1145/3583133.3596420

Additional file 2 of Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields

Autoren: Shih-Cheng Li Pei-Hua Wang Jheng-Wei Su et al.

Schlagwörter: Artificial Intelligence and Image Processing, Chemical reaction, Optimal condition, Quantum optimization, Machine learning, Quadratic unconstrained binary optimization, QUBO, Digital annealer

Relation: https://figshare.com/articles/journal_contribution/Additional_file_2_of_Application_of_the_digital_annealer_unit_in_optimizing_chemical_reaction_conditions_for_enhanced_production_yields/29566543

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29566543.v1
https://figshare.com/articles/journal_contribution/Additional_file_2_of_Application_of_the_digital_annealer_unit_in_optimizing_chemical_reaction_conditions_for_enhanced_production_yields/29566543

Qoolchain: A QUBO Preprocessing Toolchain for Enhancing Quantum Optimization

Autoren: Orlandi, Giacomo Volpe, Deborah Graziano, Mariagrazia et al.

Weitere Verfasser: Orlandi, Giacomo Volpe, Deborah Graziano, Mariagrazia et al.

Schlagwörter: grover adaptive search, grover search, preprocessing, quadratic unconstrained binary optimization, quantum computing

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001377004400001; numberofpages:23; journal:ADVANCED QUANTUM TECHNOLOGIES; https://hdl.handle.net/11583/2995497

Verfügbarkeit: https://hdl.handle.net/11583/2995497
https://doi.org/10.1002/qute.202400384
https://onlinelibrary.wiley.com/doi/10.1002/qute.202400384