%0 Generic
%A Prielinger, Luise
%A Gómez Iñesta, Álvaro
%A Vardoyan, Gayane
%D 2024
%T Data underlying the publication: Surrogate-guided Optimization in Quantum Networks
%U 
%R 10.4121/a07a9e97-f34c-4e7f-9f68-1010bfb857d0.v2
%K quantum networks
%K entanglement distribution
%K surrogate optimization
%K machine learning
%K bayesian optimization
%X <p>This data is associated with the paper "Surrogate-guided Optimization in Quantum Networks".</p><p>In this work we introduce an efficient optimization workflow using machine-learning models that outperforms traditional techniques, addressing the challenges of complex, computationally demanding simulations in quantum networking. Please find guidelines and more context in REAMDE.md file.</p>
%I 4TU.ResearchData