This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making.
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