# AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications

@inproceedings{KoikeAkino2022AutoQMLAQ, title={AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications}, author={Toshiaki Koike-Akino and Pu Wang and Ye Wang}, booktitle={SAM}, year={2022} }

—Commercial Wi-Fi devices can be used for inte- grated sensing and communications (ISAC) to jointly exchange data and monitor indoor environment. In this paper, we inves- tigate a proof-of-concept approach using automated quantum machine learning (AutoQML) framework called AutoAnsatz to recognize human gesture. We address how to efﬁciently design quantum circuits to conﬁgure quantum neural networks (QNN). The effectiveness of AutoQML is validated by an in-house experiment for human pose…

## One Citation

Quantum Feature Extraction for THz Multi-Layer Imaging

- Computer Science, PhysicsArXiv
- 2022

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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