Classiq and Pontificia Universidad Católica de Chile have initiated a 12-month project to develop hybrid quantum algorithms for the analysis of biomedical images and computational pathology, according to a press release.
Initially, the team will focus on kidney pathologies, including lesion classification, glomeruli segmentation, and pattern detection in histological images. The project will utilize the Classiq platform and NVIDIA CUDA-Q; the selected algorithms will be simulated on NVIDIA infrastructure, executed on IonQ quantum hardware, and compared with classical machine learning methods.
