Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
arXiv:2603.10083v2 Announce Type: replace-cross
Abstract: Quantum machine learning models based on parameterized circuits can be viewed as Fourier series approximators. However, they often struggle to learn functions with multiple frequency components…