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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…