Xhek Turkeshi's Website

I'm a theoretical physicist working in the field of quantum statistical mechanics and condensed matter theory.

I am interested in non-equilibrium many-body dynamics, quantum information propagation through quantum matter, in strongly disordered quantum many-body systems, and in machine-learning methods applied to many-body physics. In particular, I am currently focused on emerging phenomena in monitored quantum many-body systems, where the unitary/dissipative evolution is interspersed with the incessant action of a probing environment.

In my research, I daily use a combination of analytical methods and numerical techniques to investigate the framework of interest. The analytical methods have strong statistical mechanics imprinting and include saddle point methods, random matrix theory tools, mean-field techniques, cumulant expansion, and renormalization group methods. Regarding numerical methods, I use numerically exact techniques, e.g. exact diagonalization and Lanczos methods, Monte Carlo simulations, machine learning, and deep learning techniques. I'm a fluent programmer in Python, Fortran, c++, javascript, and Rust.