Speaker: DI Anja Heim
Visualizing data distributions is crucial for understanding complex materials science datasets, especially those derived from X-ray computed tomography (XCT). These visual analysis techniques support the exploration of structural properties and temporal developments in high-dimensional data. A promising future approach for efficiently handling such XCT data is quantum image processing, which offers the potential to process entire images simultaneously through quantum parallelism. However, quantum image processing algorithms are difficult to develop because of the unintuitive nature of quantum mechanics.
In this presentation, I will introduce IMPAQT, an interactive visualization system designed to facilitate the design, analysis, and debugging of quantum image processing algorithms. IMPAQT bridges the gap between complex quantum circuit behavior and interpretable image transformations, providing a clear and transparent view of the evolution of NEQR-encoded images. I will demonstrate how IMPAQT helps researchers understand gate-level operations and pixel-level effects, accelerating the development of reliable quantum image processing pipelines.
Bio: DI Anja Heim is a research associate at the Fraunhofer Institute for Integrated Circuits IIS, working in the Knowledge-Based Image Processing and Visualization (WBV) group. Previously, she worked for three years at the Computed Tomography Research Group at the University of Applied Sciences Upper Austria, Campus Wels. She holds a BSc in Media Informatics and Visual Computing and an MSc in Visual Computing from the Vienna University of Technology. Her master thesis focused on the visual comparison of multivariate data ensembles. Currently, she is working on her PhD project on the visual analysis of high-dimensional data distributions in different domains as materials science and quantum computing.
