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September 10, 2025

Quantum Machine Learning for Drug Discovery: A Systematic Review

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Authors

MHMuhammad Imran HamidAndalas UniversityAAnisurrahmanJamia Millia IslamiaBABashir AlamJamia Millia Islamia

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Overview

Systematic review evaluates quantum machine learning methods for drug discovery, highlighting advantages and challenges.

Key Points

  • Quantum machine learning significantly enhances molecular property prediction and drug candidate identification, improving efficiency.
  • Recent advancements show that QML can accurately predict molecular interactions and optimize chemical compounds with more precision than classical methods.
  • The systematic review synthesizes existing strategies in drug discovery using QML, addressing both the robust applications and ongoing challenges in the field.
  • Promoting interdisciplinary research in quantum computing and chemistry is essential for future advancements in drug development and wellness.

Cite This Study

Hamid et al. (2025) studied this question.

synapsesocial.com/papers/68c1c31b54b1d3bfb60f0a1fhttps://doi.org/10.63503/j.ijcma.2025.156
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