Quantum machine learning

Seth Lloyd (MIT, USA)

Pavilón QUTE, Auditórium – 2. poschodie, FÚ SAV


This talk shows how quantum information processing can provide an exponential enhancement to common machine learning procedures such as data fitting, principal component analysis, support vector machines, and topological data analysis. Open questions in quantum machine learning are presented, for example, Can deep quantum learning circuits provide an exponential advantage over deep classical learning?