Deep Learning of Quantum Entanglement

Dominik Koutný; Laia Ginés; Magdalena Moczała-Dusanowska; Sven Höfling; Christian Schneider; Ana Predojević; Miroslav Ježek

doi:10.1364/QUANTUM.2022.QTh2A.4

Quantum 2.0 Conference and Exhibition
Technical Digest Series (Optica Publishing Group, 2022),
paper QTh2A.4
•https://doi.org/10.1364/QUANTUM.2022.QTh2A.4

Deep Learning of Quantum Entanglement

Dominik Koutný, Laia Ginés, Magdalena Moczała-Dusanowska, Sven Höfling, Christian Schneider, Ana Predojević, and Miroslav Ježek

Quantum 2.0 2022

Boston, MA United States
13–16 June 2022
ISBN: 978-1-957171-11-1

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New Horizons (QTh2A)

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D. Koutný, L. Ginés, M. Moczała-Dusanowska, S. Höfling, C. Schneider, A. Predojević, and M. Ježek, "Deep Learning of Quantum Entanglement," in Quantum 2.0 Conference and Exhibition, Technical Digest Series (Optica Publishing Group, 2022), paper QTh2A.4.

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Abstract

Detection of quantum correlations in a physical system is paramount to many cutting-edge applications in quantum information processing. We tackle the problem of inferring the entanglement from incomplete measurements by employing deep neural networks.

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