RESEARCH

We study models for quantum information processing and fundamental aspects of quantum information theory. One focus of our research is the theory of measurement-based quantum computation, which has resulted in a new and more thorough understanding of many-body entanglement as resource, and applications in quantum communication, quantum error correction, and quantum algorithms. Another focus lies on the application and development of machine learning in basic science and on the study of physical models for learning. Some of our work is highly interdisciplinary and addresses questions in different fields including quantum physics, robotics, behavioural biology, and the philosophy of action.

Quantum Networks

Quantum Sensor Networks

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News & Activities

New Pre-Print: Entanglement and purity can help to detect systematic experimental errors
We examine how the characteristics of a quantum state influence the detectability of systematic errors in quantum experiments using the direct and efficient detection method introduced in this work.

New Pre-Print: Merging-Based Quantum Repeater
We introduce an alternative approach for the design of quantum repeaters based on generating entangled states of growing size.

Our Research on designing entanglement structures for quantum networks has been published
In this work we demonstrate that shaping the entanglement topology of a quantum network is crucial for its performance and flexibility.

A flexible quantum data bus for quantum networks
We present a new measurement scheme that allows for the parallel extraction of multiple Bell states from a two-dimensional cluster state, while maintaining the connectivity of the remaining cluster state

Our Research on the analysis of noise on entanglement-based networks has been published
Here show that cluster states and tree graph states are useful entanglement resources in a quantum network under the effects of white noise.