Data · dataset · 2016
Adiabatic preparation of Floquet condensates
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We argue that a Bose–Einstein condensate can be transformed into a Floquet condensate, that is, into a periodically time-dependent many-particle state possessing the coherence properties of a mesoscopically occupied single-particle Floquet state.
Description
Our reasoning is based on the observation that the denseness of the many-body system’s quasienergy spectrum does not necessarily obstruct effectively adiabatic transport. Employing the idealized model of a driven bosonic Josephson junction, we demonstrate that only a small amount of Floquet entropy is generated when a driving force with judiciously chosen frequency and maximum amplitude is turned on smoothly.
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Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Adiabatic_preparation_of_Floquet_condensates/… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.3160156 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/09500340.2016.1167263 doi.org/10.1080/09500340.2016.1167263 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.3160156 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.3160156 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Chemical sciences · Physical sciences
- From keywords
- Medicine & Health
Related
- Inverse of same asAdiabatic preparation of Floquet condensates
Provenance · 1 source records, 12 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.3160156 | 12 d ago | JSON v1 |
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| concepts[field].fos:chemical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:physical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Medicine'] |
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