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Explorations in Quantum Neural Networks with Intermediate Measurements

 
: Franken, Lukas; Georgiev, Bogdan

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Fulltext (PDF; )

ESANN 2020, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Proceedings : Online Event, October 2-4, 2020
Louvain-La-Neuve: i6doc.com publication, 2020
ISBN: 978-2-87587-074-2
pp.297-302
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) <28, 2020, Online>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
01IS18038A/B/C; ML2R
English
Conference Paper, Electronic Publication
Fraunhofer IAIS ()

Abstract
In this short note we explore a few quantum circuits with the particular goal of basic image recognition. The models we study are inspired by recent progress in Quantum Convolution Neural Networks(QCNN) [12]. We present a few experimental results, where we attempt to learn basic image patterns motivated by scaling down the MNIST dataset.

: http://publica.fraunhofer.de/documents/N-615541.html