Table 6 Paired t-test results comparing Mod. Obs. Const., Hybrid, and Variational-PV methods across different locality levels.
From: Post-variational classical quantum transfer learning for binary classification
Locality | Comparison | t-statistic | p-value | Significant (p < 0.05) |
|---|---|---|---|---|
L1 | Mod. Obs. Const. vs Hybrid | 0.5608 | 0.5991 | No |
L1 | Mod. Obs. Const. vs Variational-PV | 0.1618 | 0.8778 | No |
L1 | Hybrid vs Variational-PV | − 0.5075 | 0.6334 | No |
L2 | Mod. Obs. Const. vs Hybrid | 2.1137 | 0.0882 | No |
L2 | Mod. Obs. Const. vs Variational-PV | − 0.3437 | 0.7451 | No |
L2 | Hybrid vs Variational-PV | − 1.8423 | 0.1248 | No |
L3 | Mod. Obs. Const. vs Hybrid | 1.2322 | 0.2727 | No |
L3 | Mod. Obs. Const. vs Variational-PV | 0.7583 | 0.4825 | No |
L3 | Hybrid vs Variational-PV | − 1.0979 | 0.3223 | No |
