Research Groups

Superconducting circuit processor architecture

The research group Superconducting circuit processor architecture studies strategies for implementing, controlling, and optimizing quantum operations on noisy intermediate-scale quantum devices based on circuit quantum electrodynamics.

Controlling neutral atoms and enabling quantum-computing applications

Our research explores the full range of the quantum-computing stack from hardware-centric quantum control engineering to near-term quantum algorithms. In one focus area, we engineer and optimize control pulses for quantum computers and simulators at the interface to experimental platforms based on neutral and Rydberg atoms.

Spin qubit dynamics

Our group investigates how to optimize the control of solid-state spin qubits, focusing on spin-carriers trapped by electrostatically defined quantum dots.

Solid State Quantum Optics

In our research group we focus on the study of few-body quantum systems based on spins in solid-state materials toward quantum technology applications. Thereby, the interplay of quantum control, environment and measurements is at the heart of open problems in quantum information and quantum sensing, yet not enough is known at present.

Machine Learning for Quantum Technology

The research of our Helmholtz Young Investigator Group is directed at understanding and controlling the collective dynamics of quantum many-body systems far from equilibrium, which may ultimately pave the way to devise new technologies that rely on the quantum laws of nature.

Numerical Analysis of Synthetic Quantum Matter

One of the main research directions of our division revolves around the possibility of shaping interesting many-body phenomena in quantum simulators, being them analogue or digital ones, even beyond the traditional limitations of condensed matter physics. In particular, the interplay of synthetic gauge fields with geometrical constraints and interactions is investigated in order to achieve and manipulate (fractional) topological states of matter, and to tune their transport properties.

Last Modified: 12.02.2026