Quantum Simulation of Adaptive Topology Optimization Algorithm

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum simulation has emerged as a powerful tool for simulating complex systems, offering the potential for unprecedented accuracy and speed. This paper introduces a novel quantum simulation algorithm, termed "Adaptive Topology Optimization," designed to automatically adjust the simulation's topology during the process, thereby reducing simulation time and improving accuracy. The core mechanism revolves around leveraging the inherent dynamics of quantum systems to dynamically modify the simulation's structure, effectively optimizing the process for specific outcomes. This approach addresses a critical challenge in quantum simulation – the reliance on meticulously crafted parameters – and presents a promising path towards more efficient and precise simulations of intricate phenomena. The algorithm's potential applications span diverse fields, including materials science, drug discovery, and fundamental physics.

DOI: 10.5281/zenodo.22246620

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