Who: Eliska Greplova, U Aarhus, Denmark
Place: Donostia International Physics Center
Date: Monday, 4 December 2017, 11:30
In quantum optics, a quantum system is often measured continuously over time and the post-processing of the measured signal is then used to characterise the parameters and/or underlying quantum state. In this talk I will present the so-called past quantum state, a general technique that helps us determine outcome of measurements in the case when a system is being continuously monitored. As a general technique developed using basic building blocks of quantum measurement theory it can be (and has been) applied to a variety of experimental systems and led to the improvement of existing parameter estimation techniques. I will discuss in more detail the application of the method in the example scenario of electron spin and population dynamics of a quantum dot. I will compare routinely used parameter estimation techniques with new approaches based on neural networks and show how this novel paradigm allows us to estimate physical parameters beyond the realm of Markov approximation.