Quantum Error Correction Codes: An Adaptive Optimization Algorithm

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum error correction is a crucial aspect of quantum computing, enabling the reliable transmission and manipulation of quantum information. Traditional methods often rely on fixed parameter optimization, which struggles to adapt to the inherent variability of quantum systems. This paper introduces a novel self-adaptive optimization algorithm designed to dynamically adjust quantum error correction code parameters based on input data entropy changes, thereby significantly enhancing the code's performance and robustness. We propose a method that leverages the inherent dynamics of quantum states to optimize the code's parameters in real-time, offering a potential pathway to overcome limitations of traditional approaches. The core mechanism centers around a feedback loop that continuously assesses the error rate and adjusts the code's parameters to minimize this error.

DOI: 10.5281/zenodo.22332149

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