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Classiq and UC Chile have launched a 12-month initiative to develop hybrid quantum-classical machine learning algorithms specifically for biomedical image analysis in pathology. This partnership establishes Latin America's first computational pathology consortium, leveraging Classiq's automated circuit synthesis to address regional research needs. The project represents a significant step toward practical quantum applications in healthcare, though it remains a research-focused effort rather than an immediate commercial product.
Classiq and UC Chile Form Latin America’s First Quantum Pathology Consortium
Quantum software engineering developer Classiq and the Pontificia Universidad Católica de Chile (UC Chile) have launched a joint 12-month research initiative to engineer hybrid quantum-classical machine learning algorithms for advanced biomedical image analysis. Funded through the Avanza UC 2025 competition, the project—titled “Enhancing Pathology through Quantum Computing”—establishes Latin America’s inaugural computational pathology consortium. The project [...] The post Classiq and UC Chile Form Latin America’s First Quantum Pathology Consortium appeared first on Quantum Computing Report.
Quantum software engineering developer Classiq and the Pontificia Universidad Católica de Chile (UC Chile) have launched a joint 12-month research initiative to engineer hybrid quantum-classical machine learning algorithms for advanced biomedical image analysis. Funded through the Avanza UC 2025 competition,…
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