Quantum Feature Extraction for THz Multi-Layer Imaging

Koike-Akino, Toshiaki, Wang, Pu, Yamashita, Genki, Tsujita, Wataru, Nakajima, Makoto

arXiv.org Artificial Intelligence 

A learning-based THz multi-layer imaging has been recently used for contactless three-dimensional (3D) positioning and encoding. We show a proof-of-concept demonstration of an emerging quantum machine learning (QML) framework to deal with depth variation, shadow effect, and double-sided content recognition, through an experimental validation.

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