Classiq and UC Chile Launch Quantum Computing Research for Biomedical Imaging

Insider Brief

Classiq and UC Chile have launched a 12-month research project to develop hybrid quantum machine learning algorithms for biomedical image analysis and computational pathology.

The project will focus initially on renal pathology applications, including kidney lesion classification, glomerular segmentation, and pattern recognition in histological images.

Researchers will use Classiq’s software platform, NVIDIA CUDA-Q, and IonQ quantum hardware to develop and benchmark quantum machine learning approaches against classical methods.

PRESS RELEASE — Classiq and Pontificia Universidad Católica de Chile (UC Chile) today announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis, assisted by classical machine learning and the NVIDIA CUDA-Q platform for quantum-classical computing.