Mean-field dynamics and Fisher information in matter wave interferometry

Haine, Simon A. (2016) Mean-field dynamics and Fisher information in matter wave interferometry. Physical Review Letters, 116 23: 230404.1-230404.5. doi:10.1103/PhysRevLett.116.230404

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Author Haine, Simon A.
Title Mean-field dynamics and Fisher information in matter wave interferometry
Journal name Physical Review Letters   Check publisher's open access policy
ISSN 1079-7114
Publication date 2016-06-09
Year available 2016
Sub-type Article (original research)
DOI 10.1103/PhysRevLett.116.230404
Open Access Status File (Publisher version)
Volume 116
Issue 23
Start page 230404.1
End page 230404.5
Total pages 5
Place of publication College Park, MD, United States
Publisher American Physical Society
Language eng
Abstract There has been considerable recent interest in the mean-field dynamics of various atom-interferometry schemes designed for precision sensing. In the field of quantum metrology, the standard tools for evaluating metrological sensitivity are the classical and quantum Fisher information. In this Letter, we show how these tools can be adapted to evaluate the sensitivity when the behavior is dominated by mean-field dynamics. As an example, we compare the behavior of four recent theoretical proposals for gyroscopes based on matter-wave interference in toroidally trapped geometries. We show that while the quantum Fisher information increases at different rates for the various schemes considered, in all cases it is consistent with the well-known Sagnac phase shift after the matter waves have traversed a closed path. However, we argue that the relevant metric for quantifying interferometric sensitivity is the classical Fisher information, which can vary considerably between the schemes.
Keyword Physics, Multidisciplinary
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID DE130100575
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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