Hands-On Introduction to Quantum Machine Learning

This tutorial introduces key concepts in Quantum Machine Learning (QML), covering qubits, gates, entanglement, parameterized circuits, and quantum neural networks (QNNs). It highlights recent advances in quantum-enhanced model compression and quantum architecture search (QAS), which improve QML eff...

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Bibliographic Details
Main Authors: Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Format: Article
Language:English
Published: LibraryPress@UF 2025-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Online Access:https://journals.flvc.org/FLAIRS/article/view/139039
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