Table 6 Statistical significance analysis of QFreqFormer against baseline models (forecast horizon = 336). Values represent p-values from 10 paired runs. Statistically significant differences at \(p<0.05\) are shown in blue.

From: Quantum-enhanced dual-layer graph attention network for time-series forecasting

Comparison method

Paired t-test (p-value)

Wilcoxon Test (p-value)

QFreqFormer vs. PatchTST

0.0021

0.0033

QFreqFormer vs. DLinear

0.0045

0.0079

QFreqFormer vs. Informer

0.0006

0.0004

QFreqFormer vs. FEDformer

0.0018

0.0026

QFreqFormer vs. Autoformer

0.0029

0.0041