Exploring the Effect of Basis Rotation on NQS Performance
A new arXiv paper explores how basis rotations affect Neural Quantum States (NQS) performance. Researchers used an Ising model to demonstrate that these rotations can alter the optimization landscape, potentially leading to saddle points and high-curvature regions. This geometric displacement can cause low energy errors to coexist with inaccurate wavefunction structures, indicating that optimization failures can persist even when the target state is representable. AI
IMPACT Provides theoretical insights into the optimization challenges of quantum machine learning models.