In open quantum dynamics, the structure of the environment determines the way a system loses its coherence. In this seminar, we show how to use a Bayesian learning protocol to infer properties of the environment from experimental data. Specifically, we estimate a set of scalar parameters of the spectral density of the bath that interacts with a quantum dot via exciton-phonon interaction in the weak coupling regime, using simulated data. We will compare offline and online protocols and their performance.
For those without a background in the topic, we will review concepts on the theory of open quantum systems, quantum metrology, quantum process tomography, and parameter estimation.
Google Meet Link
meet.google.com/pfu-awyh-hmz