DFG grant for Violeta Ivanova Rohling

We congratulate Violeta Ivanova Rohling (Postdoctoral Fellow / Physics) who has received a grant from the German Research Foundation (DFG) for her project „Deep learning methods with symmetry priors for problems in quantum computing“.

The project's objective is "to develop and adapt deep learning and reinforcement learning methods that use structural priors, namely special symmetries, as well as manifold priors with the goal to solve two specific problems in quantum computing: to find optimal physical spin exchange gate sequences, that make most efficient logical two-qubit gates, important for spin exchange-only quantum computation, as well as finding optimal measurement operators for efficient quantum state tomography", explains Violeta.

The DFG grant in the amount of 241.804 euros covers Violeta’s own position plus 22 percent programme allowance for 28 months.

We wish her all the best!

Find more information on Violeta and her project here: