Research

S. Pilati is a computational physicist interested in ultracold atomic gases, in quantum computing, and in machine learning methods. His work focuses on the development of computer simulation methods for quantum many-body systems based on quantum Monte Carlo algorithms, on machine learning techniques, and on the use of high-performance computers. S. Pilati is also interested in the development of quantum-enhanced optimization methods and in the use of quantum annealers (such as those commercialized by D-Wave Systems Inc.) in combination with deep learning algorithms. Finally, his work focuses also on the use of deep learning methods to simulate quantum matter, quantum computers, as well as to tackle interdisciplinary tasks such as, e.g., drug design, search-engines for booking websites, and communication network protocols.Â