Floquet-Driven Crossover from Density-Assisted Tunneling to Enhanced Pair Tunneling

We investigate the experimental control of pair tunneling in a double-well potential using Floquet engineering. We demonstrate a crossover from a regime with density-assisted tunneling to dominant pair tunneling by tuning the effective interactions. Furthermore, we show that the pair tunneling rate can be enhanced not only compared to the Floquet-reduced single-particle tunneling but even beyond the static superexchange rate, while keeping the effective interaction in a relevant range. This opens possibilities to realize models with explicit pair tunneling in ultracold atomic systems.

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Publication Details

Journal
Physical Review Letters
Published
2024-12-16
DOI
https://doi.org/10.1103/physrevlett.133.253402
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.69

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article

Floquet-Driven Crossover from Density-Assisted Tunneling to Enhanced Pair Tunneling

Ameneh Sheikhan, Andrea Bergschneider, Nick Klemmer, Janek Fleper et al.
2 citations
Physical Review Letters
Neural Networks and Reservoir Computing
0.69
article

Floquet-Driven Crossover from Density-Assisted Tunneling to Enhanced Pair Tunneling

Ameneh Sheikhan, Andrea Bergschneider, Nick Klemmer, Janek Fleper, Valentin Jonas, Michael Köhl, Corinna Kollath
article en
2 citations

Abstract

We investigate the experimental control of pair tunneling in a double-well potential using Floquet engineering. We demonstrate a crossover from a regime with density-assisted tunneling to dominant pair tunneling by tuning the effective interactions. Furthermore, we show that the pair tunneling rate can be enhanced not only compared to the Floquet-reduced single-particle tunneling but even beyond the static superexchange rate, while keeping the effective interaction in a relevant range. This opens possibilities to realize models with explicit pair tunneling in ultracold atomic systems.

Physical Review LettersVol. 133(25)
University of Bonn (DE)
Deutsche Forschungsgemeinschaft, Kavli Institute for Theoretical Physics, University of California, Santa Barbara
Affordable and clean energy
Openalex Percentile: Top 23%
Neural Networks and Reservoir Computing
0.69
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Floquet-Driven Crossover from Density-Assisted Tunneling to Enhanced Pair Tunneling — Ameneh Sheikhan, Andrea Bergschneider, et al. · Physical Review Letters (2024) | TGRS Research Map | TGRS