Meet the supervisors

MLQ brings together a highly interdisciplinary community of researchers working at the state-of-the-art in computer science, AI and ML, chemistry and materials science, and quantum technology, as well as the interfaces of quantum information, many-body physics, and nanoscience. This includes experts in quantum and classical machine learning, efficient theoretical descriptions of strongly-correlated quantum systems, open platforms for computing and massively parallel optimization, quantum simulation and quantum computing with Rydberg atoms, molecular qubits and qudits for quantum information processing, quantum information theory applied to quantum state engineering, reduction of noise in noisy, intermediate scale quantum processors, quantum optimization applied to nanosciences and application of ML to hard computational problems impacting society.