Abstract: Image processing is one of the most promising applications for quantum machine learning. Quanvolutional neural networks with nontrainable parameters are the preferred solution to run on ...

Thanks for the fantastic work! I have some questions about your project. {"uid": "00990617", "description": "Create a new coordinate system with Euler angles set to 0 ...

Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...