The focus of our research is theoretical aspects of strongly correlated many-body systems and their applications in quantum technologies.
The underlying projects are mainly based on numerical simulations using Density Matrix Renormalization Group and novel machine learning techniques such as neural networks and Bayesian estimators.
The subjects of interest are as following: