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Theoretical Aspects of Quantum Machine Learning: an Overview

24 Apr
Wednesday, 04/24/2019 12:15pm to 1:15pm
Computer Science Building, Room 140
Theory Seminar

Abstract: Quantum computing and machine learning are extremely hot topics and it only makes sense to see what happens if we combine these areas. In recent times, there is a lot of interest in quantum algorithms for machine learning. These try to improve over classical algorithms for generalizing or otherwise learning from given data (the data itself could also be quantum). In this talk I will first introduce the theoretical aspects of quantum machine learning and then discuss a few positive and negative results in this area. (I will give a brief introduction to the basic concepts of quantum computing; no prior knowledge will be assumed.)