Figure 6
Comparison of the dynamics of the QGAN (left column) and SQGEN (right column) training process for the source providing n-qubit GHZ state. The sequence of panels corresponds to n, i.e., (a) \(n=2\), (b) \(n=3\), (c) \(n=4,\) (d) \(n=5\). We do not plot J here, as QGAN has no counterpart of it. The plots illustrate the probability p of a source state being recognized as real by the discriminator, probability q of a generated state being recognized, and fidelity F comparing the trained generator and the source. These noiseless simulations were performed using simulator_statevector37.
