Abstract
We introduce an efficient self-learning swarm-intelligence algorithm for devising feedback-based quantum metrological procedures to replace what is otherwise an inefficient problem. Our algorithm can be trained with simulated or real-world trials.
© 2011 Optical Society of America
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