Variational Quantum Circuit-Based Quantum Machine Learning Approach for Predicting Corrosion Inhibition Efficiency of Expired Pharmaceuticals

This study examines the potential of quantum machine learning (QML) to predict the corrosion inhibition capacity of expired pharmaceutical compounds. The investigation employs a QSPR model, using features generated from density functional theory (DFT) calculations as input. At the same time, corrosi...

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Autori principali:	Muhamad Akrom, Muhammad Reesa Rosyid, Lubna Mawaddah, Akbar Priyo Santosa
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Department of Informatics, UIN Sunan Gunung Djati Bandung 2025-04-01
Serie:	JOIN: Jurnal Online Informatika
Soggetti:	ansatz designs corrosion inhibitors drug compounds quantum machine learning variational quantum circuit
Accesso online:	https://join.if.uinsgd.ac.id/index.php/join/article/view/1333
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