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Extremely stable laser sources are essential for high-precision experiments, such as interferometric gravitational wave detectors. Marina Trad Nery explains how to use radiation pressure to measure and stabilize power fluctuations in a laser beam.
Thomas Chalopin explains how optical superlattices enhance quantum gas microscopy by enabling the preparation of low-temperature samples and the simulation of exotic models with single-site resolution.
James Spencer explains how deep neural networks can approximate many-electron wavefunctions used in variational quantum Monte Carlo, introducing the Fermionic Neural Network or FermiNet.
Johann Brehmer explains how simulation-based inference is used in particle physics and how tools such as the open-source Python library MadMiner can enhance the capabilities of data analysis.
Filippo Vicentini introduces the open-source Python toolkit NetKet, which implements machine learning methods for the study of quantum many body physics.