Quantum computing has the potential to provide speedups for classical problems such as complex simulation, optimization and cryptography tasks, but requires scalable and reliable qubit technologies. Semiconductor spin qubits combine long coherence times with established industrial fabrication techniques. This project focusses on implementing high-fidelity two-qubit gates, which are then expanded to multi-qubit arrays and quantified by applying quantum information algorithms together with rigorous benchmarking.

This project explores how subcortical structures such as the amygdala, thalamus, basal ganglia, cerebellum and hippocampus shape social cognition. Using high-resolution fMRI, diffusion MRI and computational modeling it examines how connections between subcortex and cortex support empathy, perspective taking and emotional regulation.

Visual perceptual learning (VPL) – a type of visual skill learning – has often been studied in adults as a model system to identify neural mechanisms of learning. However, it is unclear whether children employ similar neural mechanisms for VPL as adults. In this project, we will use non-invasive brain imaging to measure and compare neural mechanisms of VPL in children and adults and examine whether and if so how learning changes from childhood to adulthood.