3 papers
quant-ph2026
Unsupervised learning for the systematic identification of nondispersive wave packets in driven helium
Juan M. Scarpetta, Gustavo A. Parra, Alejandro González-Melan +1
Nondispersive wave packets in driven helium are long-lived quantum states that follow classical resonant orbits without spreading. Their identification typically requires detailed…
quant-ph2026
Deep learning parameter estimation and quantum control of single molecule
Juan M. Scarpetta, Omar Calderón-Losada, Morten Hjorth-Jensen +1
Coherent control, a central concept in physics and chemistry, has sparked significant interest due to its ability to fine-tune interference effects in atoms and individual molecule…
quant-ph2025
Machine learning non-Markovian two-level quantum noise spectroscopy
Juan Manuel Scarpetta, John Henry Reina, Morten Hjorth-Jensen
We develop machine learning models for the automated characterization of quantum noise spectroscopy for non-Hermitian two-level systems. We use the Random Forest, Support Vector an…