# Simplified landscapes for optimization of shaken lattice interferometry

**Authors:** C.A. Weidner, D.Z. Anderson

arXiv: 1803.01235 · 2018-08-15

## TL;DR

This paper demonstrates how phase-modulated optical lattices can be used to split atom clouds into specific momentum states, optimizing the process through simple models, simulations, experiments, and genetic algorithms for improved atom interferometry.

## Contribution

It introduces a simple analytic model for atom splitting in shaken lattices and applies genetic algorithms to optimize splitting efficiency at specific momentum states.

## Key findings

- Single-frequency shaking achieves $oxed{	ext{±}2	ext{ħ}k_L}$ splitting.
- Phase control allows for phase-dependent splitting outcomes.
- Optimization reaches approximately 0.1% accuracy for certain momentum states.

## Abstract

Motivated by recent results using shaken optical lattices to perform atom interferometry, we explore splitting of an atom cloud trapped in a phase-modulated ("shaken") optical lattice. Using a simple analytic model we are able to show that we can obtain the simplest case of $\pm2\hbar k_\mathrm{L}$ splitting via single-frequency shaking. This is confirmed both via simulation and experiment. Furthermore, we are able to split with a relative phase $\theta$ between the two split arms of $0$ or $\pi$ depending on our shaking frequency. Addressing higher-order splitting, we determine that $\pm6\hbar k_\mathrm{L}$ splitting is sufficient to be able to accelerate the atoms in counter-propagating lattices. Finally, we show that we can use a genetic algorithm to optimize $\pm4\hbar k_\mathrm{L}$ and $\pm6\hbar k_\mathrm{L}$ splitting to within $\approx0.1\%$ by restricting our optimization to the resonance frequencies corresponding to single- and two-photon transitions between Bloch bands.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1803.01235/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/1803.01235/full.md

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Source: https://tomesphere.com/paper/1803.01235