My main focus is on quantum algorithms, mainly (but not only) for healthcare and life sciences applications. With my collaborators I explore:

Quantum generative models such as quantum generative adversarial networks, to enhance expressivity and trainability for drug discovery applications and data augmentation;
Quantum simulations for NMR spectroscopy, both with quantum artificial intelligence and quantum (Hamiltonian) simulations;
Quantum reservoir computing techniques, in particular for time series forecasting such as for wildfire prediction;
Quantum optimization algorithms such as quantum approximate optimization algorithms (QAOA) and its variants, as well as quantum annealing approaches (applications for molecular docking, transport network, production scheduling, etc.).

A key aspect of our investigations is also to run our new algorithmic designs on actual quantum computing systems such as IBM superconducting-qubit computers or IonQ trapped-ion quantum computers, in order to compare performances and benchmark the end-user applications.

Dr. Julien Baglio

Profiles & Affiliations

Department of Physics

Faculty of Science > Department of Physics > Forschung > Physik > Theoretische Physik Mesoscopics (Loss) | Member of Professorship / Research Group

Faculty of Science >
Department of Physics >
Forschung >
Physik >
Theoretische Physik Mesoscopics (Loss) | Member of Professorship / Research Group