Efficient algorithm for optimizing adaptive quantum metrology processes |
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Authors: | Hentschel Alexander Sanders Barry C |
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Institution: | Institute for Quantum Information Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4. A.Hentschel@ucalgary.ca |
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Abstract: | Quantum-enhanced metrology infers an unknown quantity with accuracy beyond the standard quantum limit (SQL). Feedback-based metrological techniques are promising for beating the SQL but devising the feedback procedures is difficult and inefficient. Here we introduce an efficient self-learning swarm-intelligence algorithm for devising feedback-based quantum metrological procedures. Our algorithm can be trained with simulated or real-world trials and accommodates experimental imperfections, losses, and decoherence. |
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