Fast Quantum-LBM-SR

Fast Quantum-LBM-SR is a physics-inspired image super-resolution architecture that integrates quantum-inspired Lattice Boltzmann dynamics with deep learning to reconstruct high-resolution images from low-resolution inputs. By combining streaming, MRT collision, moment computation, and efficient reconstruction within a lightweight framework, the network effectively restores fine textures and structural details while maintaining low computational complexity. Its scalable and interpretable design provides an efficient alternative to conventional super-resolution models for both natural and medical imaging applications.