Learning to Detect Entanglement

This paper introduces the forest algorithm, an algorithm that can detect entanglement through the use of decision trees generated by machine learning. Tests against similar tomography-based detection algorithms using experimental data and numerical simulations indicate that, once trained, the proposed algorithm outperforms previous approaches. The results identify entanglement detection as another area of quantum information where machine learning can play a helpful role.

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