Quantum-Inspired Acceleration for Image Reconstruction on Ising Machines
Yen-Jui Chang, Hao-Yuan Chen, Y. C. Lu, Lien-Po Yu, Chao‐Ming Fu, Ching‐Ray Chang · 2024
The study investigates a quantum-inspired approach to image reconstruction using Ising machines and demonstrates its significant improvements over the contrastive divergence method in Restricted Boltzmann Machines training and the quality of image reconstruction on the MINST digits and fashion datasets.