Dynamic Topology Optimization of Quantum States

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum state optimization is a challenging and critical task in quantum computing and quantum information science. Traditional optimization methods often struggle to effectively adapt to the complex, non-linear nature of quantum systems, leading to suboptimal solutions. This paper introduces a novel dynamic topology optimization algorithm, designed to automatically adjust quantum state topology, thereby optimizing quantum system performance. The core mechanism leverages the inherent topological structure of quantum states, coupled with quantum error correction, to achieve adaptive and robust optimization. This approach overcomes limitations of static optimization techniques and offers a promising path toward efficient quantum state engineering.

DOI: 10.5281/zenodo.22263085

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