Quantum System Identification: Hamiltonian tomography and decoherence estimation from noisy time series data - Sophie Schirmer

I will discuss ways to characterize the dynamics of a quantum system given a restricted set of initial states that can be prepared and a very limited set of available measurements. I will first discuss strategies for Hamiltonian identification using Bayesian parameter estimation from noisy time series data, level structure identification and finally Hamiltonian reconstruction. I will then consider how to generalize this approach to open systems in special cases, e.g., to estimate dephasing rates, and possible alternatives. References -- recent: http://arxiv.org/abs/1012.4593 http://arxiv.org/abs/0911.1367 http://arxiv.org/abs/0911.5429 http://arxiv.org/abs/0805.2725 http://arxiv.org/abs/quant-ph/0702123 and a link to the first one we did on this for 2-level systems: http://www.damtp.cam.ac.uk/user/sgs29/research/papers/PRA69n050306R.pdf