Table 2 Performance improvement ratio (%) of the dDNN model over the vDNN model when the number of input nodes is 96. Avg. denotes the improvement ratio for the average RMSE of the three parameters. Energy denotes the improvement ratio for the RMSE of the energy spectrum.
From: Supervised learning of the Jaynes–Cummings Hamiltonian
Feature | \(\epsilon\) | \(\omega _c\) | \(\omega _a\) | g | \({\mathrm{Avg.}}\) | Energy |
|---|---|---|---|---|---|---|
\(\Delta e^2\) | 0.4 | 81.6 | 76.7 | 71.7 | 76.8 | 81.4 |
0.8 | 84.3 | 71.7 | 70.1 | 71.9 | 83.0 |
