Quantum Simulation of Adaptive Topology Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum simulation has emerged as a powerful tool for studying complex quantum systems, offering unprecedented capabilities for simulating phenomena beyond the reach of classical methods. However, the inherent complexity of quantum systems often necessitates sophisticated techniques to accurately represent and analyze their dynamics. This paper proposes a novel quantum simulation framework, dubbed "Adaptive Topology Optimization," designed to overcome these challenges by dynamically adjusting the underlying topology of the quantum system during the simulation process. The core mechanism centers around a self-adjusting topology, enabling the simulation of highly intricate and dynamically evolving quantum structures. This approach offers a new pathway for optimizing quantum simulation results, addressing limitations of existing techniques and potentially unlocking new insights into quantum phenomena.

DOI: 10.5281/zenodo.22199258

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