Monitoring a free-space quantum communication channel using machine learning techniques

Yaseera Ismail; Ilya Sinayskiy; Francesco Petruccione

doi:10.1364/FIO.2019.JW4A.48

Frontiers in Optics + Laser Science APS/DLS
OSA Technical Digest (Optica Publishing Group, 2019),
paper JW4A.48
•https://doi.org/10.1364/FIO.2019.JW4A.48

Monitoring a free-space quantum communication channel using machine learning techniques

Yaseera Ismail, Ilya Sinayskiy, and Francesco Petruccione

Laser Science 2019

Washington, DC United States
15–19 September 2019
ISBN: 978-1-943580-67-5

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Poster Session IV (JW4A)

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Y. Ismail, I. Sinayskiy, and F. Petruccione, "Monitoring a free-space quantum communication channel using machine learning techniques," in Frontiers in Optics + Laser Science APS/DLS, OSA Technical Digest (Optica Publishing Group, 2019), paper JW4A.48.

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Abstract

Free-space quantum communication faces challenges related to losses in the transmission channel. Machine learning is resourceful for monitoring these channels. Here, supervised learning was used to predict the atmospheric strength of the channel.

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