Background and Review of Cavity-Enhanced Spontaneous Parametric Down-Conversion

Spontaneous parametric down-conversion (SPDC) in a nonlinear crystal has been a workhorse for the generation of entangled and correlated single-photon pairs used for quantum communications applications for nearly three decades. However, as a naturally broadband process, the ability of SPDC to interf...

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Published inJournal of research of the National Institute of Standards and Technology Vol. 124; pp. 1 - 18
Main Authors Slattery, Oliver, Ma, Lijun, Zong, Kevin, Tang, Xiao
Format Journal Article
LanguageEnglish
Published Gaithersburg Superintendent of Documents 2019
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
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Summary:Spontaneous parametric down-conversion (SPDC) in a nonlinear crystal has been a workhorse for the generation of entangled and correlated single-photon pairs used for quantum communications applications for nearly three decades. However, as a naturally broadband process, the ability of SPDC to interface with the very narrow energy transitions in atomic ensembles for implementing quantum memories, which are needed for quantum repeaters to extend the reach of quantum communications, was initially limited. To overcome this limitation, the process was enhanced by placing the nonlinear crystal inside a resonating cavity. This modified process has some important advantages, including narrowing the spectral linewidth of generated photons into brighter resonant modes of the cavity, and the ability to lock the desired mode of the cavity to the targeted transition frequency of the atomic ensemble. This paper presents an overview of the principle of cavity-enhanced SPDC, a review of works to date using this technique, and an example of one of these implementations.
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The National Institute of Standards and Technology is an agency of the U.S. Department of Commerce.
About the authors: Oliver Slattery is a physicist and the Project Leader of the Quantum Communications project in the Applied and Computational Mathematics Division at NIST. Lijun Ma is a physicist in the Applied and Computational Mathematics Division at NIST. Kevin Zong is a Summer Undergraduate Research Fellow (SURF) in the Applied and Computational Mathematics Division at NIST. Xiao Tang is a physicist in the Applied and Computational Mathematics Division at NIST.
ISSN:2165-7254
1044-677X
2165-7254
DOI:10.6028/jres.124.019