Quantum Supremacy in Tomographic Imaging: Advances in Quantum Tomography Algorithms

• DOI: 10.48550/arxiv.2502.04830
• Publication Date: 2025-02-07
• Authors: Hyun Ju Lee; Kyungtaek Jun
• Keywords: Tomographic reconstruction; Quantum tomography

Quantum computing has emerged as a transformative paradigm, capable of tackling complex computational problems that are infeasible for classical methods within practical timeframe. At the core this advancement lies concept quantum supremacy, which signifies ability processors to surpass systems in specific tasks. In context tomographic image reconstruction, optimization algorithms enable faster processing and clearer imaging than conventional methods. This study further substantiates supremacy by reducing required projection angles reconstruction while enhancing robustness against artifacts. Notably, our experiments demonstrated proposed algorithm accurately reconstructed images without artifacts, even when up 50% error was introduced into sinogram induce ring Furthermore, it achieved precise reconstructions using only from original spanning 0{\deg} 180{\deg}. These findings highlight potential revolutionize enabling efficient accurate under challenging conditions, paving way broader applications medical imaging, material science, advanced tomography technologies continue advance.