Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression
arXiv:2601.11942v3 Announce Type: replace
Abstract: Variational quantum circuits are increasingly studied as continuous-function approximators, but quantum regression remains difficult to train when global losses, finite-shot stochasticity, and circui…