Self-Adaptive Topology Quantum Simulation Dynamic Topology Adjustment

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the application of self-adaptive topology in quantum simulation to dynamically adjust the underlying topology of quantum systems, enabling more accurate and efficient simulation of quantum information storage. Traditional quantum simulation methods often rely on static parameterizations, limiting their ability to capture the intricate dynamics of quantum systems. We propose a novel framework where the topology of the quantum system is actively modified during the simulation process, guided by computational algorithms. This dynamic adjustment allows for a more comprehensive representation of the system's evolution and facilitates the prediction of quantum information storage efficiency. The core mechanism involves the iterative refinement of the quantum state representation, driven by the algorithm's output, to achieve a higher fidelity simulation.

DOI: 10.5281/zenodo.22466683

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