Physics-Informed Quantum Generative Adversarial Network: A Hybrid Intelligent Framework for Inverse Design of Photonic Devices

Introduction / Main Post: Physics-Informed Quantum Generative Adversarial Network: A Hybrid Intelligent Framework for Inverse Design of Photonic Devices

Explore a hybrid framework integrating physics-informed neural networks and quantum computing to enable fast and scalable inverse design of photonic devices and metasurfaces, with training samples reduced by 200 times and convergence speed improved by 25 times.