4 papers
Empirical-Bayes Unfolding of -ray Spectra
A. H. Mjøs, E. Lima, A. Kvellestad +2
Unfolding observed -ray spectra is an ill-conditioned Poisson inverse problem. Detector response effects and finite energy resolution make distinct non-negative emitted -ra…
Detecting the 3D Ising model phase transition with a ground-state-trained autoencoder
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
We develop a one-class, deep-learning framework to detect the phase transition and recover critical behavior of the 3D Ising model. A 3D convolutional neural network autoencoder (C…
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…
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…