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Using Machine Learning for the Quantum Design of a Matter-Wave Inteferometer

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Abstract

In this talk, I will discuss the application of machine learning to the design of an inertial measurement device capable of measuring accelerations and rotations with high-sensitivity. The system this is based on consists of ultracold atoms in an optical lattice potential created by interfering laser beams.

© 2022 The Author(s)

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