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Quantum Feature Extraction for THz Multi-Layer Imaging

arXiv 2207.09285 ↗First posted 18 Jul 2022quant-ph cs.LG eess.SPcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 11 references that are in the map. First posted on arXiv 18 Jul 2022.

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3 of 11 references.

References · 3

  1. 2022AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communicationscited by 6
  2. 2022Quantum Transfer Learning for Wi-Fi Sensingcited by 4
  3. 2022Learning to Learn Quantum Turbo Detectioncited by 2

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