Figure 2
From: Machine learning quantum phases of matter beyond the fermion sign problem
Results from training the neural network on Hubbard-Stratonovich field configurations of a spinful Hubbard model on a 2 · 6 × 6 lattice with on-site interaction U. Reference points for training were U = 1.0 and U = 16.0, marked by red dots in the figure. Despite intensive training, the network depicted in Fig. 1 is unable to distinguish the auxiliary field configurations of the two reference points and as a consequence can not be used to discriminate between the two phases.
