Drug Discovery Acceleration Using Quantum Simulations

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 4, pp. 47–56, April 2026

https://doi.org/10.58482/ijersem.v2i4.7

This work is licensed under a Creative Commons Attribution 4.0 International License .

Drug Discovery Acceleration Using Quantum Simulations

1R. G. Kumar, 2V. Sambasiva Reddy, 3G. Neha Chowdary, 3Amuru Vishnu Sai, 3V. Trisha, 3Gundluru Sahil

1Professor, Department of CSE, Siddarth Institute of Engineering & Technology, Puttur, India.
2Assistant Professor, Department of CSE, Siddarth Institute of Engineering & Technology, Puttur, India.
3UG Scholar, Department of CSE, Siddarth Institute of Engineering & Technology, Puttur, India.

Abstract

This paper presents a software quantum computing techniques with advanced computational models to accelerate the drug discovery process. Quantum simulations are utilized to model molecular structures, interactions, and chemical properties with high precision, enabling accurate prediction of drug behavior and binding affinities. The generated data is processed and analyzed using intelligent algorithms to identify promising drug candidates efficiently. By combining quantum-based computation with data-driven optimization, the framework enhances accuracy, reduces computational complexity, and speeds up the overall discovery pipeline. This approach ensures reliable results, minimizes experimental costs, and improves decision-making in pharmaceutical research. Overall, the proposed system provides a powerful and efficient solution for accelerating drug development, particularly benefiting modern healthcare and biomedical research.

Keywords: Drug Discovery, Quantum Simulation, Computational Model, Health Care, Data-driven Optimization.

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DOI: https://doi.org/10.58482/ijersem.v2i4.7

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 4 (April 2026)

2026-04-30