Quantum Error Correction Coding with Adaptive Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum error correction (QEC) coding that incorporates adaptive optimization. Traditional QEC schemes utilize pre-defined encoding strategies, neglecting the dynamic nature of quantum error patterns. Our methodology addresses this limitation by dynamically adjusting the encoding scheme based on real-time observations of the error mode. We employ an optimization algorithm, grounded in a quantum degradation model, to analyze error distributions and adjust the encoding subset and correction strategy, ultimately minimizing error propagation. The core claim is that adaptive optimization significantly enhances QEC efficiency. The proposed mechanism allows for a more robust and efficient utilization of qubits in quantum computations. This research provides a framework for designing more resilient and adaptable QEC systems.

DOI: 10.5281/zenodo.22460747

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