Quantum-Enhanced Monte Carlo Simulation of Complex Networks

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel approach to accelerate Monte Carlo simulations of complex networks by integrating quantum superposition into the core algorithm. We demonstrate a practical implementation of a quantum-enhanced Monte Carlo simulation, achieving significant speedups compared to classical methods for certain network configurations. The core mechanism involves utilizing quantum superposition to explore multiple states simultaneously, reducing the computational complexity inherent in traditional Monte Carlo techniques. The research explores the potential of this approach to unlock insights into intricate network dynamics, offering a pathway for enhanced analysis of complex systems. We provide a detailed analysis of the algorithm's performance and discuss future directions for further investigation.

DOI: 10.5281/zenodo.22300620

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