Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice

Volume: 3, Issue: 3
Published: Sep 27, 2021
Abstract
We demonstrate the design of a matterwave interferometer to measure acceleration in one dimension with high precision. The system we base this on consists of ultracold atoms in an optical lattice potential created by interfering laser beams. Our approach uses reinforcement learning, a branch of machine learning, that generates the protocols needed to realize lattice-based analogs of optical components including a beam splitter, a mirror, and a...
Paper Details
Title
Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice
Published Date
Sep 27, 2021
Volume
3
Issue
3
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