Fig. 10: The average error ϵ for 10,000 test samples is shown as a function of the number of qubits and the number of training points.
From: Direct entanglement detection of quantum systems using machine learning
a Test results for Hamiltonian \({\mathcal{H}}\) described in Eq. (1). b Test results for Hamiltonian \({{\mathcal{H}}}_{{\rm{XY\; Z}}}\). The blue line is plotted where ϵ is around 0.01. ϵ is defined as \(\frac{1}{M(N-1)}\mathop{\sum }\nolimits_{m = 1}^{M}\mathop{\sum }\nolimits_{{\rho }_{A} = [1]}^{[123]..}| {S}_{m}^{{\rm{th}}}({\rho }_{A})-{S}_{m}^{{\rm{ML}}}({\rho }_{A})|\).
