Hamiltonian learning

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.

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