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Time-bin entangled photon pairs from Bragg-reflection waveguides

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Chen_2018_Time_bin_APLPhoton_080804_CC.pdf (595.1Kb)
Date
08/2018
Author
Chen, Huan
Auchter, Silke
Prilmüller, Maximilian
Schlager, Alexander
Kauten, Thomas
Laiho, Kaisa
Pressl, Benedikt
Suchomel, Holger
Kamp, Martin
Höfling, Sven
Schneider, Christian
Weihs, Gregor
Keywords
Time-bin entanglement
Quantum state tomography
Parametric down-conversion
Bragg-reflection waveguide
QC Physics
TK Electrical engineering. Electronics Nuclear engineering
NDAS
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Abstract
Semiconductor Bragg-reflection waveguides are well-established sources of correlated photon pairs as well as promising candidates for building up integrated quantum optics devices. Here, we use such a source with optimized non-linearity for preparing time-bin entangled photons in the telecommunication wavelength range. By taking advantage of pulsed state preparation and efficient free-running single-photon detection, we drive our source at low pump powers, which results in a strong photon-pair correlation. The tomographic reconstruction of the state’s density matrix reveals that our source exhibits a high degree of entanglement. We extract a concurrence of 88.9(1.8)% and a fidelity of 94.2(9)% with respect to a Bell state.
Citation
Chen , H , Auchter , S , Prilmüller , M , Schlager , A , Kauten , T , Laiho , K , Pressl , B , Suchomel , H , Kamp , M , Höfling , S , Schneider , C & Weihs , G 2018 , ' Time-bin entangled photon pairs from Bragg-reflection waveguides ' , APL Photonics , vol. 3 , no. 8 , 080804 . https://doi.org/10.1063/1.5038186
Publication
APL Photonics
Status
Peer reviewed
DOI
https://doi.org/10.1063/1.5038186
ISSN
2378-0967
Type
Journal article
Rights
© 2018 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Description
This work was supported by the Austrian Science Fund (FWF) through the project nos. I 2065 and J 4125, the DFG project no. SCHN1376/2-1, the ERC project EnSeNa (257531), the State of Bavaria and China Scholarship Council (201503170272).
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/15750

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