Artur Czerwinski

Machine Learning of Quantum Entanglement from Noisy Measurements

The findings indicate that ML may provide an efficient alternative to conventional quantum-state analysis under simulated Poissonian noise conditions, and demonstrate that ML methods can achieve very high classification accuracy, even under extremely limited training conditions.