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Quantum Computing Simulations for Complex System Modeling

K.Kavya Sree, Rajeshri Akhilesh Admane, S. Rajeshwari, Imran zahoor Khan, Suryaprakash, Tamilarasan

Published Sep 7, 2026• 0 citations

Abstract

Quantum computation provides new avenues for the simulation of complex systems, which are beyond the capability of classical computation. In this paper, we describe an efficient simulator for quantum computing models, particularly designed for simulating complex systems. Through hybrid quantum–classical methods, noise-tolerant algorithms, and adaptive parameter updating, the method addresses several limitations of NISQ-era methods. The framework proves to be more scalable, accurate, and domain-transparent in applications to molecular dynamics, material science, and quantum chemistry. Experimental results verify the benefit compared to the state of the art in terms of both convergence rate and fidelity, demonstrating its applicability for future simulation tasks.

DOI: 10.1201/9781003598312-78

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