3 papers
cs.CV2026
Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding
Ana-Maria Pangeva, Yassine Ferhi, Alexander Geng +3
In quantum image processing, a fundamental step is encoding classical image data into quantum states. This can be achieved using methods such as Flexible Representation of Quantum…
cs.CV2026
Hybrid Quantum-Classical AI for Industrial Defect Classification in Welding Images
Akshaya Srinivasan, Xiaoyin Cheng, Jianming Yi +4
Hybrid quantum-classical machine learning offers a promising direction for advancing automated quality control in industrial settings. In this study, we investigate two hybrid quan…
cs.CV2024
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation
Akshaya Srinivasan, Alexander Geng, Antonio Macaluso +2
Exploring the potential of quantum hardware for enhancing classical and real-world applications is an ongoing challenge. This study evaluates the performance of quantum and quantum…