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Accepted manuscript

Concept for motion sensing using atomic optical memories

Published online by Cambridge University Press:  13 December 2024

Arash Ahmadi*
Affiliation:
Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany
Yağız Murat
Affiliation:
Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany
Özgür E. Müstecaplıoğlu
Affiliation:
Department of Physics, Koç University, 34450 Sarıyer, Istanbul, Türkiye
Pei-Chen Kuan
Affiliation:
Department of Physics, National Cheng Kung University, Tainan 70101, Taiwan
Mustafa Gündoğan
Affiliation:
Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany
Markus Krutzik
Affiliation:
Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany Ferdinand-Braun-Institut (FBH), Gustav-Kirchoff-Str.4, 12489 Berlin, Germany
*
*Author for correspondence. Email: [email protected]
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Abstract

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By harnessing optical memories based on Electromagnetically Induced Transparency in warm vapors of gaseous alkali metals and cold atomic clouds, this article presents new methods for motion sensing. The proposed scheme for velocimetry can substantially increase the sensitivity of some recent works based on light-dragging effect in a moving medium and, on the other hand, our proposal, when realized using cold atoms, opens new research questions with regards to limits of light storage in cold atomic clouds. Ultimately, a detailed experimental setup is presented for realization of the velocimetry scheme using stopped light, which includes considerations for choice of the medium, laser configuration and control. By investigating the limits of optical memories in motion sensing applications, this research opens up new avenues for employing optical memories beyond applications in quantum information science.

Type
Results
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2024. Published by Cambridge University Press