Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathology SANTIAGO, Chile, and BOSTON, June 5, 2026 — Classiq and Pontificia Universidad Católica de Chile (UC Chile) have 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 […] The post Classiq and UC Chile Launch Quantum-AI Project for Biomedical Imaging appeared first on HPCwire .
The growing maturity of quantum computing hardware and software platforms like NVIDIA CUDA-Q, coupled with increasing interest in AI applications in healthcare, makes this a timely development.
This collaboration demonstrates continued global expansion and practical application of quantum computing for complex problem-solving, particularly in healthcare diagnostics, and highlights the convergence of AI and quantum technologies.
The scope of quantum computing applications expands into biomedical imaging, fostering academic-industrial partnerships in new regions, potentially accelerating the development of quantum machine learning in pathology.
- · Classiq
- · UC Chile
- · NVIDIA
- · Biomedical Imaging Research
This project offers new tools for digital pathology, potentially improving diagnostic accuracy and speed.
Successful development could drive increased investment and talent migration into quantum computing and AI research in Latin America.
Advances in quantum-AI for medical imaging could eventually lead to entirely new diagnostic paradigms and personalized treatment approaches, shifting healthcare product development.
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