Machine learning for setting up quantum experiments

Today machine learning plays an increasing role in many aspects of scientific research. What is the role of machine learning in setting up modern quantum experiments? In the first part of my talk, I will show how reinforcement learning is now used to design new photonic quantum experiments for three-photon entangled states generation and for violating Bell-CHSH inequality. In the second part, I will show how we design quantum systems via supervised learning to achieve quantum walk advantages.