Entanglement as a Structural Prior: Comparative Analysis of Separable and Entangled Quantum Physics-Informed Neural Networks for Coupled Power System Dynamics
This paper provides a detailed comparison of the performance of separable and entangled Quantum Physics-Informed Neural Networks (QPINNs) to solve coupled nonlinear differential equations, with the multi-generator power system swing equation serving as a test application. Previous studies focused on single-layer circui...