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August 2, 2025

Quantum Machine Learning for Drug Discovery: A Systematic Review

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Authors

MHMuhammad Imran HamidAAnisurrahmanBABashir Alam

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Overview

This systematic review highlights the advantages of quantum machine learning in drug discovery and molecular simulations, indicating potential breakthroughs in pharmaceuticals.

Key Points

  • Quantum machine learning accelerates drug candidate identification and optimizes compounds, highlighting its advantages over classical methods.
  • It shows promising results in molecular property prediction and chemical reaction simulations, incorporating recent research advancements.
  • The analysis focuses on methods used in molecular generation through quantum machine learning, revealing both potential and challenges within the field.
  • Promoting interdisciplinary research, it addresses the integration of quantum computing with chemistry for enhanced drug discovery.

Cite This Study

Hamid et al. (2025) studied this question.

synapsesocial.com/papers/68af2974cf1dd9ea359e2f6ehttps://doi.org/10.63503/j.ijcma.2025.156
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