Fig. 8: The prediction results for subsystem entropy \(S({\rho }_{A})=-\log (\,\text{tr}\,{\rho }_{A}^{2})\), with ρA = [1], [12], and [123], were obtained for two image adversarial situations. | npj Quantum Information

Fig. 8: The prediction results for subsystem entropy \(S({\rho }_{A})=-\log (\,\text{tr}\,{\rho }_{A}^{2})\), with ρA = [1], [12], and [123], were obtained for two image adversarial situations.

From: Direct entanglement detection of quantum systems using machine learning

Fig. 8

a The predicted entropies of the separable Hamiltonians ground states. b The predicted entropies of the fully separable states. For each adversarial situation, we tested M = 500 samples. The red points represent the actual entropy of the subsystem, while the blue points indicate the predictions made by our machine learning method.

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