quantum information

The Department of Physics and Astronomy is seeking to appoint a new permanent lectureship (assistant professor equivalent) in Quantum Machine Learning, at the intersection of physics, quantum information, quantum technology, and machine learning (ML). Applicants from any area of quantum information will be considered.

In the recent past, it has been established beyond doubt that by leveraging the unique quantum properties of sub-atomic particles, information can yield unparalleled advantages in diverse disciplines of information processing including computing, communication, cryptography and control. In fact, protocols such as quantum key distribution accomplish tasks hitherto believed impossible. Notably, these protocols have been demonstrated in practice and research is underway to scale them up. We are shaping up towards emergence of a new age in information processing.

We are currently offering several multi-year postdoctoral research positions to highly motivated and well-qualified researchers who intend to enhance their career in quantum information science or in quantum many-body physics. The positions on the E13 and E14 level are funded by an ERC Advanced Grant, and are also connected to other frameworks and schemes such as Berlin Quantum and the European Quantum Flagship.

Our leading group is concerned with research in quantum information theory, condensed matter theory and the intersection between the fields.

- We ask what information processing tasks are possible using single quantum systems as carriers of information. We think about the mathematical-theoretical foundations of quantum information, specifically about the theory of entanglement and questions of tomography, but also about ways of realizing topological quantum computing.

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