Adaptive Topology & Quantum Computing Fusion

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the synergistic integration of adaptive topology and quantum computing, presenting a novel framework for complex system modeling and optimization. Traditional methods struggle to efficiently handle intricate topological structures, offering a significant advantage through quantum computation's precision. We propose a method leveraging the strengths of both techniques, focusing on leveraging quantum computing's inherent capabilities for high-fidelity simulation and optimization of complex topological landscapes. The core mechanism centers around a hybrid approach wherein topology optimization algorithms are augmented with quantum-enhanced simulation, ultimately leading to improved performance in various application domains. This research explores the potential of this fusion to unlock new capabilities in complex system design and analysis.

DOI: 10.5281/zenodo.22185406

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