The Learnability of Unknown Quantum Measurements

3 Jan 2015Hao-Chung ChengMin-Hsiu HsiehPing-Cheng Yeh

Quantum machine learning has received significant attention in recent years, and promising progress has been made in the development of quantum algorithms to speed up traditional machine learning tasks. In this work, however, we focus on investigating the information-theoretic upper bounds of sample complexity - how many training samples are sufficient to predict the future behaviour of an unknown target function... (read more)

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