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Quantum Feature Extraction for THz Multi-Layer Imaging

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arxiv 2207.09285 v1 pith:6AGAPTI5 submitted 2022-07-18 quant-ph cs.LGeess.SP

Quantum Feature Extraction for THz Multi-Layer Imaging

classification quant-ph cs.LGeess.SP
keywords imagingmulti-layerquantumbeencontactlesscontentdealdemonstration
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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