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Optimizing single-mode collection from pointlike sources of single photons with adaptive optics

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Hill_etal_AO_PointSources_AAM.pdf (1.087Mb)
Date
07/08/2017
Author
Hill, Alexander D.
Hervas, David
Nash, Joseph
Graham, Martin
Burgers, Alexander
Paudel, Uttam
Steel, Duncan
Schneider, Christian
Kamp, Martin
Höfling, Sven
Wang, Jin
Lin, Jiahe
Zhao, Wanying
Kwiat, Paul G.
Keywords
Quantum optics
Active or adaptive optics
QC Physics
NDAS
Metadata
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Abstract
The collection efficiency of light from a point-like emitter may be extremely poor due to aberrations induced by collection optics and the emission distribution of the source. Analyzing the aberrant wavefront (e.g., with a Shack-Hartmann sensor) and correcting accordingly can be infeasible on the single-photon level. We present a technique that uses a genetic algorithm to control a deformable mirror for correcting wavefront aberrations in single-photon signals from point emitters. We apply our technique to both a simulated point source and a real InAs quantum dot, achieving coupling increases of up to 50x00025; and automatic reduction of system drift.
Citation
Hill , A D , Hervas , D , Nash , J , Graham , M , Burgers , A , Paudel , U , Steel , D , Schneider , C , Kamp , M , Höfling , S , Wang , J , Lin , J , Zhao , W & Kwiat , P G 2017 , ' Optimizing single-mode collection from pointlike sources of single photons with adaptive optics ' , Optics Express , vol. 25 , no. 16 , pp. 18629-18642 . https://doi.org/10.1364/OE.25.018629
Publication
Optics Express
Status
Peer reviewed
DOI
https://doi.org/10.1364/OE.25.018629
ISSN
1094-4087
Type
Journal article
Rights
© 2017 Optical Society of America. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1364/OE.25.018629
Description
Army Research Office MURI on Hybrid Quantum Interactions Program W911NF09104.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11330

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