Jacob Daniel Benestad, NTNU Trondheim

Library, A.2.500, Staudtstr. 2

Location details

Abstract:

In the pursuit of building qubits with sufficiently long coherence times in order to perform quantum circuits at a high fidelities, being able to estimate any present noise sources and thereby calibrate for them is paramount. To this end, we investigate Bayesian estimation schemes where the qubit itself is treated as a sensor, with a focus on fast and efficient operation in actual experiments and on-the-fly feedback, where the key ingredient of computationally fast feedback is an approximation to parametric encodings of probability distributions. Additionally, I will very briefly present some work done on automatic tuning of experiments using an evolutionary strategy.