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Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

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Abstract

We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center’s electron ground-state spin.

© 2017 Optical Society of America

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