Efficient Algorithm for Optimizing Adaptive Quantum Metrology
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.