Quantum Feature Extraction for THz Multi-Layer Imaging

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

Quantum Feature Extraction for THz Multi-Layer Imaging

Quantum Physics 2022-07-20 v1 Machine Learning Signal Processing

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

Abstract

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.

Keywords

quantum machine learning machine learning in materials science

Cite

@article{arxiv.2207.09285,
  title  = {Quantum Feature Extraction for THz Multi-Layer Imaging},
  author = {Toshiaki Koike-Akino and Pu Wang and Genki Yamashita and Wataru Tsujita and Makoto Nakajima},
  journal= {arXiv preprint arXiv:2207.09285},
  year   = {2022}
}

Comments

2 pages, 5 figures, IRMMW-THz2022

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