Tag: Quantum Machine Learning (QML)

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Classiq and Pontificia Universidad Católica de Chile Launch Latin America’s First Quantum Machine Learning Consortium for Computational Pathology

Classiq and Pontificia Universidad Católica de Chile have launched Latin America’s first Quantum Machine Learning Consortium for computational pathology. The 12-month project focuses on renal pathology applications including kidney lesion classification and glomerular segmentation using hybrid quantum algorithms. Researchers will leverage Classiq’s platform with NVIDIA CUDA-Q and IonQ hardware to optimize quantum convolutional neural networks and variational classifiers.

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Hamburg HQML Consortium

Hamburg HQML Consortium Advances Quantum AI for Large-Scale Imaging

A new quantum AI consortium in Hamburg targets large-scale data processing, starting with massive image outputs from CERN’s particle accelerator. ParityQC, DESY, eleQtron, and DLR QCI each contribute specialized skills to develop hardware and algorithms. The HQML project aims for faster insights in fields ranging from physics to medical imaging and environmental science.

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