In this talk, I will describe how quantum computing and machine learning can be combined to solve a machine learning problem that cannot be solved on a classical computer. This will illustrate the quantum advantage of quantum machine learning. I will then discuss how to build optimal quantum machine learning models for practical applications. In particular, I will show how to increase the complexity of quantum models in order to improve their ability to infer from limited data. I will conclude by a discussion of the title question.