Modeling and Control of Ultracold Atoms Trapped in an Optical Lattice: An Example-driven Tutorial on Quantum Control

Nicotra, Marco M.; Shao, Jieqiu; Combes, Joshua; Anne, Theurkauf,; Axelrad, Penina; Chih, Liang-Ying; Holland, Murray; Zozulya, A. A.; Catie, LeDesma,; Mehling, Kendall; Anderson, Dana Z.

doi:10.1109/mcs.2022.3216652

Cited by 3 publications

(1 citation statement)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1(b)] to uncover higher performance shaking functions leading to higher-precision SLIs. 11,16,17 In QOC, optimal shaking functions are calculated given knowledge of the underlying physical model, which is used to simulate and update quantum trajectories. In RL, an agent chooses an action given knowledge of the environment (e.g.…”

Section: Machine Learningmentioning

confidence: 99%

Machine learning designed optical lattice atom interferometer

Colussi,

Copenhaver,

Seifert

et al. 2024

Quantum Sensing, Imaging, and Precision Metrology II

Self Cite

View full text Add to dashboard Cite

We theoretically study a new approach to matter-wave interferometer that utilizes ultracold atoms confined in an optical lattice. Through patterned phase modulation of the lattice, the matter wave is split, mirrored, and recombined, resulting in sensitivity to an applied inertial signal as was recently demonstrated experimentally in [LeDesma et al., arXiv:2305.17603 (2023]. Compared to free-space equivalents, this "shaken lattice" interferometer has the advantage that atoms remain always supported against external forces and perturbations and that by applying different shaking sequences the device could be in principle made sensitive to different signals (inertial, gravitational, etc...) on the fly. In this work, we give a brief overview of this sensing platform and its working principles.

show abstract

Section: Machine Learningmentioning

confidence: 99%