Machine Learning at the Flatiron Institute Seminar: Eliška Greplová

Title: Exploring artificial intelligence for engineered quantum matter

Abstract: In research labs worldwide, quantum physics is making unprecedented strides. The realization of robust quantum systems holds tremendous promise for applications in secure communication and computing. Yet, as physicists, our most exciting pursuit lies in experimentally testing quantum phenomena predicted over the past century within highly controlled environments. In this seminar, I will explore artificial intelligence approaches in the field of engineered quantum matter.

Throughout the seminar, we will uncover how these approaches can be effectively deployed in contemporary quantum experiments. As one example, I will show how we can utilize generative models for parameter prediction of engineered topological systems known as Kitaev chains. Using this result and similar examples, I will discuss how we can use ML techniques to pave the way for advancing our control and understanding of real quantum experiments