Title: Topics in quantum topological data analysis

Abstract: Although still arguably an emerging field in classical machine
learning, topological data analysis has already raised substantial interest
from the perspective of quantum algorithms in the last few years, and for good
reasons. In this talk we will explain why this is the case. We will introduce
the topic of topological data analysis and discuss the state-of-art of quantum
algorithms for computational problems in TDA - this will include the problems
of estimating the so-called Betti numbers and the problems of deciding
pursuance of topological features in data. We will address their promises and
limitations, possible generalizations and connections to many-body physics.

Registration:
https://www.talentq.es/es_es/evento/talentq-seminar-vedran-dunjko/