Data underlying the publication: Surrogate-guided Optimization in Quantum Networks

This data is associated with the paper "Surrogate-guided Optimization in Quantum Networks".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.