Results 31 to 40 of about 18,347 (178)
Power Network Optimization: A Quantum Approach
IEEE Access, 2023 Optimization of electricity surplus is a crucial element for transmission power networks since it leads to reducing costs as well as increasing efficiency across the network as a whole.
Giuseppe Colucci +2 more
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HUBO formulations for solving the eigenvalue problem
Results in Control and Optimization, 2023 Solving the eigenvalue problem is particularly important in almost all fields of science and engineering. With the development of quantum computers, multiple algorithms have been proposed for this purpose.
Kyungtaek Jun, Hyunju Lee
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Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization
IEEE Access, 2022 A key aspect of the design of a wind farm is the wind farm layout optimization (WFLO) problem: given a wind farm site and information about the wind patterns, the problem is to decide the location of individual wind turbines to maximize energy production
Arik Senderovich +3 more
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Variable Reduction For Quadratic Unconstrained Binary Optimization
, 2021 Quadratic Unconstrained Binary Optimization models are useful for solving a diverse range of optimization problems. Constraints can be added by incorporating quadratic penalty terms into the objective, often with the introduction of slack variables needed for conversion of inequalities. This transformation can lead to a significant increase in the size
Verma, Amit, Lewis, Mark
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Flight Gate Assignment with a Quantum Annealer [PDF]
, 2018 Optimal flight gate assignment is a highly relevant optimization problem from airport management. Among others, an important goal is the minimization of the total transit time of the passengers.
A Haghani +6 more
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Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization
, 2023 We introduce a novel approach to translate arbitrary 3-SAT instances to Quadratic Unconstrained Binary Optimization (QUBO) as they are used by quantum annealing (QA) or the quantum approximate optimization algorithm (QAOA). Our approach requires fewer couplings and fewer physical qubits than the current state-of-the-art, which results in higher ...
Jonas Nüßlein +4 more
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Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection [PDF]
Quantum, 2023 We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box.
Christa Zoufal +8 more
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Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers
IEEE Transactions on Quantum Engineering, 2020 Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality constraints via quantum heuristic approaches.
Claudio Gambella, Andrea Simonetto
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Algorithms, 2023 Quadratic unconstrained binary optimization (QUBO) is a classic NP-hard problem with an enormous number of applications. Local search strategy (LSS) is one of the most fundamental algorithmic concepts and has been successfully applied to a wide range of ...
Bahram Alidaee, Haibo Wang, Lutfu S. Sua
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Robust optimisation of unconstrained binary quadratic problems
International Journal of Operational Research, 2019 In this paper we focus on the unconstrained binary quadratic optimization model, maximize x^t Qx, x binary, and consider the problem of identifying optimal solutions that are robust with respect to perturbations in the Q matrix.. We are motivated to find robust, or stable, solutions because of the uncertainty inherent in the big data origins of Q and ...
Lewis, Mark +2 more
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