SANTIAGO, Chile, and BOSTON, June 04, 2026 (GLOBE NEWSWIRE) -- 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 Internal Research and Creation Competition of UC Chile. To the collaborators’ knowledge, it is the first announced consortium in Latin America to combine quantum computing, machine learning and computational pathology. The engagement marks quantum computing’s and Classiq’s growing presence in Latin America and reflects the company’s expanding work with academic, research and public-sector institutions, including in health innovation. It also reinforces Chile’s emerging role in quantum computing, AI and advanced technology development. A Media Snippet accompanying this announcement is available by clicking on this link. Quantum machine learning applies quantum computing methods to machine learning problems, including classification, pattern recognition and complex data analysis. The initial project focus is on renal pathology, an area of growing public health importance in Chile and across Latin America. This includes applying quantum machine learning to computational pathology, with an initial emphasis on kidney lesion classification, automated glomerular segmentation and semantic pattern search across full histological slides. The work will be conducted in collaboration with Dr. Luciano Rebouças and Dr. Washington Conrado, researchers at Fundação Oswaldo Cruz (FIOCRUZ) and professors/researchers at Universidade Federal da Bahia (UFBA) in Brazil, combining expertise in digital pathology, computer vision and biomedical data analysis using curated histopathology datasets, provided by the Brazilian institutions. The research will leverage the Classiq quantum computing software platform and the NVIDIA CUDA-Q platform to leverage a seamless workflow from algorithm development through to simulation and execution. “Latin America has the scientific