text: 243,43,1263499423683883009,160687843,Alexey Melnikov,"Our new paper on designing better Bell test experiments, where we propose new unintuitive experiments with Bell inequality violations higher than the best known setups. Here we go towards device-independent quantum information processing <LINK> @UniBasel <LINK>",https://arxiv.org/abs/2005.01697,"Finding optical setups producing measurement results with a targeted probability distribution is hard as a priori the number of possible experimental implementations grows exponentially with the number of modes and the number of devices. To tackle this complexity, we introduce a method combining reinforcement learning and simulated annealing enabling the automated design of optical experiments producing results with the desired probability distributions. We illustrate the relevance of our method by applying it to a probability distribution favouring high violations of the Bell-CHSH inequality. As a result, we propose new unintuitive experiments leading to higher Bell-CHSH inequality violations than the best currently known setups. Our method might positively impact the usefulness of photonic experiments for device-independent quantum information processing. ",Setting up experimental Bell test with reinforcement learning,1,"['Our new paper on designing better Bell test experiments, where we propose new unintuitive experiments with Bell inequality violations higher than the best known setups. Here we go towards device-independent quantum information processing <LINK> @UniBasel <LINK>']",20,05,261