Quantum Error Correction Coding and Adaptive Decoherence Control

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum error correction (QEC) that integrates robust coding schemes with adaptive control strategies for mitigating decoherence, a primary obstacle to large-scale quantum computation. The core concept involves treating decoherence not as a static noise source, but as a dynamic and time-varying process. We introduce a new QEC scheme which incorporates a machine learning algorithm to predict and compensate for decoherence effects in real-time. The system dynamically adjusts control parameters, such as pulse shapes and timings, based on these predictions to minimize errors. Our approach significantly enhances the resilience and computational efficiency of quantum systems by offering a proactive and adaptive response to the inherent instability of quantum states. The theoretical framework and underlying mathematical models are presented, demonstrating the potential for substantial improvements in quantum computation.

DOI: 10.5281/zenodo.22582125

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