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Quantum computing offers new possibilities for AI, bringing the promise of faster and more powerful breakthroughs. This book is designed as an approachable bridge from machine learning into the quantum realm. If you are an AI engineer eager to discover what’s next, this book is perfect for you.
This book was written from the perspective of an AI engineer who is somewhat familiar with linear algebra, the probability theory, and various machine learning techniques, and it is divided into four parts.
Notwithstanding, this book is limited to the field of AI and it may not cover all aspects of quantum computing and relevant topics.
In this book, we will explore:
Built specifically for AI engineers and machine learning practitioners, this book uses intuitive analogies to turn abstract quantum concepts into an accessible, actionable extension of your existing skillset.
Author: Prachya Boonkwan (PhD, The University of Edinburgh) is currently a lecturer at the School of ICT, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand. Formerly, he was a senior researcher at the National Electronics and Computer Technology Center (NECTEC), Thailand. His research interests include natural language processing, artificial intelligence, quantum computing, and hyperdimensional computing.
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