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Extending gradient echo memory using machine learning and single photons

Anthony C. Leung, Aaron D. Tranter, Karun Paul, Jesse L. Everett, Pierre Vernaz-Gris, Daniel B. Higginbottom, Geoff Campbell, Ping Koy Lam, B. C. Buchler

Published Jan 1, 2018• 1 citation
Publisher

Abstract

Gradient echo memory is the most efficient quantum memory protocol to date. Recent additions of machine learning and compatible single photons can raise its performance and the possibility of using it as a quantum gate.
DOI
10.1364/cleopr.2018.th1d.2

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