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arXiv · 2505.04648

Quantum QSAR for drug discovery

Alejandro Giraldo·Daniel Ruiz·Mariano Caruso·Guido Bellomo
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Abstract

Quantitative Structure-Activity Relationship (QSAR) modeling is key in drug discovery, but classical methods face limitations when handling high-dimensional data and capturing complex molecular interactions. This research proposes enhancing QSAR techniques through Quantum Support Vector Machines (QSVMs), which leverage quantum computing principles to process information Hilbert spaces. By using quantum data encoding and quantum kernel functions, we aim to develop more accurate and efficient predictive models.

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Alejandro Giraldo, Daniel Ruiz, Mariano Caruso, Guido Bellomo. 2025-05-06. Quantum QSAR for drug discovery. https://arxiv.org/abs/2505.04648

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