Quantum-Enhanced Cellular Automata Simulation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the application of quantum-enhanced cellular automata (CA) simulation to accelerate the modeling and analysis of complex systems. Traditional CA simulations are computationally demanding, limiting their applicability to relatively simple models. We propose a novel quantum-inspired algorithm designed to overcome these limitations by exploiting superposition and entanglement to represent and manipulate cellular automata. This approach promises exponential speedups compared to classical methods, enabling the simulation of intricate phenomena with increased fidelity. The core mechanism focuses on harnessing quantum properties to enhance the representation and processing of cellular automata, leading to a significant advancement in computational power for this field. This work presents a theoretical framework, an implementation of the algorithm, and preliminary results demonstrating the potential for substantial speedups.

DOI: 10.5281/zenodo.22315003

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