Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
QFAN is a quantum generative model that simulates large images by splitting them into blocks and generating them sequentially. It decouples register size from image size by using a small, fixed circuit conditioned on a summary of previously generated pixels. This allows simulating large calorimeter showers with minimal qubits.