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Quantum Machine Learning
Quantum Chemistry
Validation of an Analysability Model in Hybrid Quantum Software
arXiv
Authors: Díaz-Muñoz Ana, Cruz-Lemus José A., Rodríguez Moisés, Piattini Mario, Baldassarre Maria Teresa
Year
2024
Paper ID
64680
Status
Preprint
Abstract Read
~2 min
Abstract Words
133
Citations
N/A
Abstract
In the context of quantum-classical hybrid computing, evaluating analysability, which is the ease of understanding and modifying software, presents significant challenges due to the complexity and novelty of quantum algorithms. Although advances have been made in quantum software development, standard software quality evaluation methods do not fully address the specifics of quantum components, resulting in a gap in the ability to ensure and maintain the quality of hybrid software products. In this registered report proposal, we intend to validate a quality model focused on the analysability of hybrid software through an international collab orative approach involving academic institutions from Italy and Spain through a controlled experiment. This approach allows for a more detailed analysis and validation methodology and establishes a framework for future research and developments in software quality assessment in quantum computing.
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