QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs

Afrah Farea, Saiful Khan, Mustafa Serdar Celebi

Physics-informed neural networks (PINNs) have emerged as promising methods for solving partial differential equations (PDEs) by embedding physical laws within neural architectures.…