INTELLIGENT TECHNOLOGY
QUANTUM COMPUTING
Classiq and UC Chile launch quantum AI research for biomedical image analysis
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 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 work will be conducted with Dr. Luciano Rebouças and Dr. Washington Conrado, researchers at Fundação Oswaldo Cruz( FIOCRUZ) and professors and researchers at Universidade Federal da Bahia( UFBA) in Brazil. The collaboration combines 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 provide a seamless workflow from algorithm development through simulation and execution.
“ Latin America has the scientific talent, institutional momentum and public health needs to support this next stage of quantum computing applications,” said Nir Minerbi, CEO and co-founder, Classiq.“ This collaboration brings together quantum software engineering, machine learning and biomedical data expertise in a workflow and project that can help strengthen the regional quantum ecosystem while exploring a practical research path for health.”
The project will be led by Dr. Dardo Goyeneche of the Faculty of Physics at Pontificia Universidad Católica de Chile. The team also includes Dr. Daniel Uzcátegui from Universidad Católica de la Santísima Concepción, whose research bridges machine learning and quantum information theory.
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 health innovation. It also reinforces Chile’ s emerging role in quantum computing, AI and advanced technology development.
Quantum machine learning applies quantum computing methods to machine learning problems, including classification, pattern recognition and complex data analysis. The initial project focuses on renal pathology, an area of growing public health importance in Chile and across Latin America.
The research includes applying quantum machine learning to computational pathology, automated glomerular segmentation and semantic pattern search across full histological slides.
“ This project connects fundamental quantum research with an important biomedical challenge,” said Dr. Goyeneche.“ By working with Classiq and collaborators in Chile and Brazil, we are creating a regional platform for quantum machine learning in health, while giving researchers experience with modern quantum software engineering workflows used internationally in research and industry.”
Researchers will use Classiq’ s platform to model, synthesize and optimize quantum convolutional neural networks, variational quantum classifiers and quantum kernel methods. Selected algorithms will be simulated on NVIDIA AI infrastructure, executed on IonQ quantum hardware and benchmarked against classical machine learning approaches using standard computer vision metrics.
The collaboration aligns with Chile’ s National Strategy for Quantum Technologies 2025 – 2035 and supports UC Chile’ s plans to expand quantum computing research and education under the Faculty of Physics’ 2025-2029 strategic programme. •
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