Neural networks trained via supervised learning on simulated noisy measurements can mitigate unknown noise in quantum state tomography for pure and mixed states.
Blume-Kohout, Optimal, reliable estimation of quan- tum states, New J
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Error-mitigated quantum state tomography using neural networks
Neural networks trained via supervised learning on simulated noisy measurements can mitigate unknown noise in quantum state tomography for pure and mixed states.