Brazilian technology and leadership higher education institute Inteli (Instituto de Tecnologia e Liderança) has formally registered as an official Scientific, Technological, and Innovation Institution (ICT) in Brazil and launched a quantum research initiative in collaboration with IBM (NYSE: IBM).
Through direct cloud access to utility-scale quantum systems via the IBM Quantum Platform, Inteli researchers and faculty will explore quantum algorithms for simulating complex economic scenarios and optimizing decision-making under uncertainty. The partnership aims to build technical quantum computing capabilities in Latin America, focusing on practical industrial applications across supply chain logistics, financial modeling, and strategic risk analysis.
| [ Inteli & IBM Quantum Partnership Overview ] | ||
|---|---|---|
| Partnership Attribute | Institutional Scope | Strategic Focus & Technical Objective |
| • Institutional Milestone | • Inteli formal accreditation as a Brazilian ICT | • Enables formal public and private research grants for deep-tech development in Brazil. |
| • Hardware Access | • IBM Quantum Platform (Utility-scale QPUs) | • Cloud-based execution of quantum algorithms on 100+ qubit IBM Quantum processors. |
| • Research Domain | • Decision-making under uncertainty | • Simulating complex stochastic scenarios, risk modeling, and optimization across Latin American industries. |
| • Ecosystem Goal | • Workforce development & applied QIS research | • Training next-generation Brazilian computer scientists and quantum software engineers. |
Expanding Quantum Information Science Capabilities in Latin America
The collaboration highlights IBM’s ongoing strategy to expand its quantum ecosystem throughout Latin America by pairing academic institutions with enterprise quantum hardware. As a newly designated ICT, Inteli joins a growing network of research bodies in Brazil equipped to run workloads on utility-scale quantum hardware.
By applying quantum simulation and optimization techniques to stochastic decision-making problems, the research initiative seeks to demonstrate algorithmic advantages over classical heuristic solvers when modeling multi-variable, highly uncertain economic environments.
Review the partner announcement on Alexandre Pfeifer’s LinkedIn update here and read the full coverage on Exame here.
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