nerc.ac.uk

Optimal control of Raman pulse sequences for atom interferometry

Saywell, Jack Cameron; Carey, Max; Belal, Mohammad; Kuprov, Ilya; Freegarde, Tim. 2020 Optimal control of Raman pulse sequences for atom interferometry. Journal of Physics B: Atomic, Molecular and Optical Physics, 53 (8). 10, pp. https://doi.org/10.1088/1361-6455/ab6df6

Before downloading, please read NORA policies.
[img]
Preview
Text
Saywell+et+al_2020_J._Phys._B__At._Mol._Opt._Phys._10.1088_1361-6455_ab6df6.pdf - Accepted Version

Download (995kB) | Preview
[img]
Preview
Text
Saywell_2020_J._Phys._B__At._Mol._Opt._Phys._53_085006.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview

Abstract/Summary

We present the theoretical design and experimental implementation of mirror and beamsplitter pulses that improve the fidelity of atom interferometry and increase its tolerance of systematic inhomogeneities. These pulses are designed using the GRAPE optimal control algorithm and demonstrated experimentally with a cold thermal sample of 85Rb atoms. We first show a stimulated Raman inversion pulse design that achieves a ground hyperfine state transfer efficiency of 99.8(3)%, compared with a conventional π pulse efficiency of 75(3)%. This inversion pulse is robust to variations in laser intensity and detuning, maintaining a transfer efficiency of 90% at detunings for which the π pulse fidelity is below 20%, and is thus suitable for large momentum transfer interferometers using thermal atoms or operating in non-ideal environments. We then extend our optimization to all components of a Mach-Zehnder atom interferometer sequence and show that with a highly inhomogeneous atomic sample the fringe visibility is increased threefold over that using conventional π and π/2 pulses.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1088/1361-6455/ab6df6
ISSN: 0953-4075
Date made live: 06 Mar 2020 09:24 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/527174

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...