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Classiq and UC Chile have initiated a 12-month hybrid quantum-classical research project targeting renal pathology applications, leveraging NVIDIA CUDA-Q and IonQ hardware to benchmark quantum machine learning against classical methods. This collaboration represents a significant regional milestone as the first announced consortium in Latin America to integrate quantum computing, machine learning, and computational pathology for biomedical imaging. The initiative underscores the growing academic and public-sector adoption of quantum algorithms in high-impact health innovation domains.
Sources coveringThe Quantum Insider, indiawest.com, finanznachrichten.de, arXiv
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Classiq and UC Chile Launch Quantum Computing Research for Biomedical Imaging

The Quantum Insider4 min read

Insider Brief 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. The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the […]

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.…

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