Overview of algorithms in quantum machine learning

Abstract

Recently, there has been a lot of recent interest in quantum algorithms for machine learning. These quantum improvements either try to improve over classical algorithms or consider quantum learning when the data itself could be presented in a quantum manner. In this talk, I will look at a few specific problems/computational models for which quantum algorithms provide a speedup to machine learning tasks in a rigorous manner. The talk will be an overview talk; I will not assume any technical knowledge of quantum and will be self-contained.