Our group advances both fundamental and application-oriented research of nanoscale optoelectronic devices and their building blocks.
Currently we are working on the following topics:
Quantum machine learning in the context of quantum reservoir computing: The idea is to use randomly coupled quantum systems that are fed classical or quantum inputs. The output is formed by combining weighted measurements on a subset of the quantum systems. In contrast to deep learning artificial neural networks, only the output weights are trained, not the internal parameters of the reservoir computer. Such a plattform is resillient towards hardware imperfections and opens up the possibility to take advantage of the exponentially large Hilbert space inherent to quantum mechanical systems. Moreover, it can be realized with todays physical hardware.
Nanolasers up to the quantum limit where a single emitter interacts with the quantum-mechanical radiation field
Optics of atomically thin semiconductors, such as transition-metal dichalcogenides, and their heterostructures
Generation of quantum light and multipartite entanglement from solid-state sources for the quantum-information technologies
Understanding and control of quantum-mechanical correlations between light and matter