Algorithmic Quantum Simulation of Emergent Phenomena

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of algorithmic quantum simulation to unlock insights into complex, emergent phenomena. We investigate the design of an algorithm capable of modeling flocking, convection, and other systems exhibiting self-organization through quantum mechanics. The core claim is that this approach, leveraging quantum algorithms, will provide unprecedented predictive power and allow for the discovery of novel patterns and behaviors within these systems. The paper details the chosen quantum algorithm, its implementation, and preliminary results demonstrating the simulation of a simplified flocking example. We will discuss the challenges and opportunities associated with this research, highlighting the potential impact on fields ranging from materials science to biology.

DOI: 10.5281/zenodo.22635357

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