quantum system identification

We are seeking an extremely well-qualified and motivated researcher at the postdoctoral level to work on notions of quantum system identification and near-term quantum computing. Possible topics include

- randomized benchmarking,
- quantum state and process tomography,
- Hamiltonian learning,
- noise estimation,
- shadow estimation,

- computational complexity,
- expressive power of quantum circuits, or
- applications of near-term quantum computers.

We invite applications for a postdoctoral position in quantum information theory at the Free University of Berlin. The position is partially funded by the PASQuanS project of the Quantum Flagship initiative, securing additional scientific visibility. The successful candidate will work as part of the research group led by Professor Jens Eisert at the FU Berlin. The position is a full E13 position initially for two years, but may be extended.

We are currently entering a new technological era where quantum mechanics is used not only to predict physical behaviour but increasingly to exploit quantum resources in applications such as Quantum Communication, Cryptography, Computation and Metrology. Due to the probabilistic nature of quantum measurements, statistical inference based on measurement data plays an increasing role in analysing and validating the results of quantum experiments.

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