A Gentle Introduction to Quantum Machine Learning
by Yuxuan Du, Xinbiao Wang, Naixu Guo, Zhan Yu, Yang Qian, Kaining Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao
A Gentle Introduction to Quantum Machine Learning introduces the fundamentals of combining quantum computing with machine learning. Written by a team of experts including Yuxuan Du and Dacheng Tao, it provides an accessible overview of key concepts and techniques for beginners in this interdisciplinary field. Ideal for students and researchers exploring quantum-enhanced AI.
About This Book
A Gentle Introduction to Quantum Machine Learning provides an entry-level exploration of the intersection between quantum computing and machine learning. Authored by experts including Yuxuan Du, Xinbiao Wang, and others, it aims to make complex topics approachable for newcomers.
The book covers essential concepts in quantum machine learning, drawing on the collective expertise of its authors from various fields. It serves as a foundational resource for understanding how quantum principles can enhance machine learning applications.
With contributions from researchers like Min-Hsiu Hsieh and Dacheng Tao, the text emphasizes clarity and gradual progression, making it suitable for students and professionals entering this emerging discipline.
This introduction highlights the potential of quantum technologies in advancing machine learning, offering insights without requiring advanced prior knowledge.
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