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Hybrid quantum-classical stochastic programming for co-planning 5G base stations and photovoltaic power stations in urban communities. [PDF]
Xu Y, Han X, Luo R, Li Z.
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QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking. [PDF]
Yanagisawa K +3 more
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Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
ACM Transactions on Quantum Computing, 2023To date, research in quantum computation promises potential for outperforming classical heuristics in combinatorial optimization. However, when aiming at provable optimality, one has to rely on classical exact methods like integer programming.
Friedrich Wagner +2 more
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Concurrency and Computation, 2023
Quadratic unconstrained binary optimization (QUBO) is a combinatorial optimization to find an optimal binary solution vector that minimizes the energy value defined by a quadratic formula of binary variables in the vector.
Xiaotian Li +9 more
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Quadratic unconstrained binary optimization (QUBO) is a combinatorial optimization to find an optimal binary solution vector that minimizes the energy value defined by a quadratic formula of binary variables in the vector.
Xiaotian Li +9 more
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GECCO Companion, 2023
Quadratic Unconstrained Binary Optimization (QUBO) has emerged as a vital unifying model for combinatorial optimization problems, and (meta-)heuristic approaches are commonly used to solve them due to their NP-hard nature.
Justin Pauckert +3 more
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Quadratic Unconstrained Binary Optimization (QUBO) has emerged as a vital unifying model for combinatorial optimization problems, and (meta-)heuristic approaches are commonly used to solve them due to their NP-hard nature.
Justin Pauckert +3 more
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A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization
IEEE Transactions on Emerging Topics in Computational IntelligenceQuadratic unconstrained binary optimization (QUBO) is a typical combinatorial optimization problem with widespread applications in science, engineering, and business.
Hongzong Li, Jun Wang
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Qualign: Solving Sequence Alignment Based on Quadratic Unconstrained Binary Optimization
Social Science Research Network, 2023Bioinformatics has, among others, the issue of solving complex computational problems with vast amounts of sequencing data. Recently, a new computing architecture, the annealing machine, has emerged that applies to actual problems and is available for ...
Y. Matsumoto, Shota Nakamura
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