8 citations · 14 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions
Lars Krupp, Jonas Bley, Isacco Gobbi +11
Individual teaching is among the most successful ways to impart knowledge. Yet, this method is not always feasible due to large numbers of students per educator. Quantum computing…
Variational Quantum Linear Solver enhanced Quantum Support Vector Machine
Jianming Yi, Kalyani Suresh, Ali Moghiseh +1
Quantum Support Vector Machines (QSVM) play a vital role in using quantum resources for supervised machine learning tasks, such as classification. However, current methods are stro…
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Alexander Geng, Ali Moghiseh, Claudia Redenbach +1
Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations. However, recent e…
Improved Anisotropic Gaussian Filters
Alex Keilmann, Michael Godehardt, Ali Moghiseh +2
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers. In cases where computed tomography images are noisy, roughly resolved, and of low contrast…
Assessing cloudiness in nonwovens
Michael Godehardt, Ali Moghiseh, Christine Oetjen +4
The homogeneity of filter media is important for material selection and quality control, along with the specific weight (nominal grammage) and the distribution of the local weight.…
A hybrid quantum image edge detector for the NISQ era
Alexander Geng, Ali Moghiseh, Claudia Redenbach +1
Edges are image locations where the gray value intensity changes suddenly. They are among the most important features to understand and segment an image. Edge detection is a standa…
An unambiguous cloudiness index for nonwovens
Michael Godehardt, Ali Moghiseh, Christine Oetjen +2
Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is…
Improved FRQI on superconducting processors and its restrictions in the NISQ era
Alexander Geng, Ali Moghiseh, Claudia Redenbach +1
In image processing, the amount of data to be processed grows rapidly, in particular when imaging methods yield images of more than two dimensions or time series of images. Thus, e…