Quantum State Adaptive Topology Optimization

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum State Adaptive Topology Optimization is a novel algorithm designed to optimize quantum states by dynamically adjusting the topology of the quantum system. This approach leverages the inherent properties of quantum states, allowing for a more efficient and robust optimization process compared to traditional methods. The core mechanism centers around a self-correcting structure, guided by the quantum state itself, leading to enhanced computational efficiency and storage capacity. The algorithm's novelty lies in its utilization of quantum state adaptability to achieve a fundamentally different optimization strategy. This paper details the algorithm's design, implementation, and performance evaluation, demonstrating its potential for significant advancements in quantum state manipulation and optimization.

DOI: 10.5281/zenodo.22156384

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