TY - DATA T1 - Data underlying the publication: Surrogate-guided Optimization in Quantum Networks PY - 2025/02/28 AU - Luise Prielinger AU - Álvaro Gómez Iñesta AU - Gayane Vardoyan UR - DO - 10.4121/a07a9e97-f34c-4e7f-9f68-1010bfb857d0.v4 KW - quantum networks KW - entanglement distribution KW - surrogate optimization KW - machine learning KW - bayesian optimization N2 - <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> ER -