Abstract: In quantum optimization approaches, such as Quantum Approximate Optimization Algorithms (QAOA) and quantum annealing, the optimal solution is obtained by minimizing an energy function that ...
Abstract: In the domain of full-wave inverse scattering imaging problems, subspace-based optimization methods (SOMs) often perform suboptimal performance under significant noise conditions due to the ...
Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...
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