Machine Learning for Precise Quantum Measurement

Details Machine Learning for Precise Quantum Measurement Machine Learning for Precise Quantum Measurement

2009-10-05

arxiv.org/abs/0910.0762v2

Physical Review Letters 104 (2010), 063603

Physics

Quantum Physics

7 pages, 3 figures, 2 tables

Scientific paper

10.1103/PhysRevLett.104.063603

Adaptive feedback schemes are promising for quantum-enhanced measurements yet are complicated to design. Machine learning can autonomously generate algorithms in a classical setting. Here we adapt machine learning for quantum information and use our framework to generate autonomous adaptive feedback schemes for quantum measurement. In particular our approach replaces guesswork in quantum measurement by a logical, fully-automatic, programmable routine. We show that our method yields schemes that outperform the best known adaptive scheme for interferometric phase estimation.

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