2 citations · 2 across the 3 of their papers we have counts for
3 papers
The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows
Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1
Model-based active flow control requires predictive models that are accurate, stable, and fast enough for real-time optimisation. In controlled wake flows, this is often achieved t…
Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization
Caleb Walton, Patricia García-Caspueñas, Filippo Zacchei +3
The fidelity of a quantum gate is sensitive to small deviations in the physical control parameters. Unfortunately, it is generally difficult to exactly model the implemented Hamilt…
Model-based time super-sampling of turbulent flow field sequences
Qihong Lorena Li-Hu, Patricia García-Caspueñas, Andrea Ianiro +1
We propose a novel method for model-based time super-sampling of turbulent flow fields. The key enabler is the identification of an empirical Galerkin model from the projection of…