Machine learner optimization of atom loading in optical nanofiber evanescent dipole traps

We use an online machine learning algorithm to optimize cooling and loading of rubidium-87 atoms into an evanescent dipole trap array along an optical nanofiber, increasing the number of trapped atoms by 50%.