TY - DATA
T1 - Data underlying the publication: Surrogate-guided Optimization in Quantum Networks
PY - 2024/09/13
AU - Luise Prielinger
AU - Álvaro Gómez Iñesta
AU - Gayane Vardoyan
UR - 
DO - 10.4121/a07a9e97-f34c-4e7f-9f68-1010bfb857d0.v3
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 -