Quantum Error Correction: Adaptive Topological Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum error correction is a critical component of quantum information processing, enabling the reliable transmission and manipulation of quantum states. Traditional approaches often rely on static optimization techniques, which can be computationally expensive and may not effectively address the inherent complexities of quantum systems. This paper introduces an adaptive topological optimization algorithm designed to dynamically adjust quantum state configurations during error correction, aiming to minimize noise and enhance overall performance. We propose a novel method that leverages the principles of topological optimization to guide the evolution of quantum states, achieving a significant improvement in error correction efficiency compared to existing approaches. This work offers a promising pathway towards more robust and efficient quantum information processing.

DOI: 10.5281/zenodo.22192436

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