Machine learning and optimal control for quantum technologie

The corner stone of the research project is to enable quantum technologies, e.g., quantum simulations on physical systems via tailored control methods. To this end, numerical tools for time-evolution have to be combined with control tools like quantum optimal control, machine learning and Hamiltonian engineering to generate a time evolution corresponding to a target evolution or to generate a desired quantum many-body state. Along this direction new control methods should be developed and different platforms can be studied such as neutral-atom quantum simulators and nuclear spins in solid state. The research will be theoretic with a strong focus on numerics and collaboration with experimentalists. The position includes also the coordination and (co)supervision of research activities on this topic within the department of physics and astronomy that are conducted in collaboration with Forschungszentrum Jülich, as well as contributing to funding acquisition

Rules for participating to the selection process can be downloaded following this link.

Applications must be submitted through the portal:

https://pica.cineca.it/unibo/rtda2025-difa-phys-04-a/

The deadline for submitting applications is  21/08/2025 at 12:00.