SANTIAGO, Chile, and BOSTON, June 04, 2026
Classiq and Pontificia Universidad Católica de Chile (UC Chile) 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.
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 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 talent, institutional momentum and public health needs to support this next stage of quantum computing applications,” said Nir Minerbi, CEO and co-founder of 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.
“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.”
The research team will use Classiq’s quantum software 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, a recently launched government initiative aimed at strengthening the country’s quantum ecosystem and expanding national capabilities in advanced computing, secure communications and scientific innovation.
Source: Classiq
Disclaimer: This article is an editorial coverage prepared for Quantum Universum. All facts, statements, and direct quotations are taken from the official press release issued by Classiq on June 4, 2026. Quantum Universum provides this coverage for informational purposes only and does not independently verify technical claims.
