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Quantum Machine Learning
Quantum Computing Education in Latin America: Experiences and Strategies
arXiv
Authors: Laura Tenjo-Patiño, Cristian E. Bello, Alcides Montoya Cañola
Year
2024
Paper ID
37733
Status
Preprint
Abstract Read
~2 min
Abstract Words
172
Citations
N/A
Abstract
Quantum computing is a rapidly advancing field with the potential to drive scientific, educational, and technological development. However, it faces a significant shortage of qualified experts, creating an urgent demand for skilled professionals. In Latin America, quantum education remains in its early stages, further widening the regional talent and access gap due to limited educational infrastructure and financial constraints. This work presents an initiative to integrate quantum computing into higher education in Latin America through the application of the European Competence Framework for Quantum Technologies, which offers a standardized approach to defining competency requirements and assessing essential skills in the field. We propose introductory courses aligned with the frameworks guidelines, designed to meet industry standards and reach a broad audience. Additionally, we introduce supplementary resources, including team dynamics and evaluation methodologies, to enhance the educational ecosystem. These initiatives aim to create a sustainable and comprehensive quantum education model across Latin America, to close the regional skills gap, foster inclusivity, and prepare a diverse workforce to contribute innovative solutions on the global stage.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Quantum computing is a rapidly advancing field with the potential to drive scientific, educational, and technological development.
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