[GLOBECOM 2022/VCC 2023 Tutorial] Post-Deep Learning Era: Emerging Quantum Machine Learning for ...

[GLOBECOM 2022/VCC 2023 Tutorial] Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications (Session 2)
Summary:
MERL scientist Dr. Toshiaki Koike-Akino presents the second part of tutorial sessions titled " Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications " for the IEEE Global Communications Conference (GLOBECOM), held in December 2022, and later for the IEEE Virtual Conference on Communications (VCC), held in November 2023. The tutorial was co-presented by MERL scientist Dr. Pu (Perry) Wang.
Abstract:
Recent millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) technologies used in fifth generation and beyond (B5G) can achieve high resolution in both time and angular domain, bringing the “integrated sensing and communications (ISAC)” a viable concept. In particular, Wi-Fi-based human monitoring has received much attention due to the decreasing cost and less privacy concerns compared with camera-based approaches. Modern deep neural networks (DNNs) have made Wi-Fi-band signals useful for user identification, emotion sensing, and skeleton tracking. This tutorial reviews the trends, solutions, and limits of DNN for ISAC to discuss the potential future “post-DNN era”, by introducing an emerging quantum machine learning (QML) in step-by-step demonstrations. This second part of the tutorial sessions focuses on the state-of-the-arts of QML technologies, including recent trends, basics of quantum computing, and applications.