Quantum Adaptive Redundancy Coding Based on Quantum Error Correction Codes

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum error correction leveraging adaptive redundancy coding. The core concept centers on dynamically adjusting the redundancy ratio within a quantum error correction code based on real-time monitoring of channel noise. Traditional quantum error correction schemes typically employ a fixed redundancy level, which is often suboptimal given the fluctuating nature of quantum channel noise. This research proposes a system utilizing quantum sensors to continuously measure channel noise and employs machine learning algorithms to predict future noise trends. These predictions are then used to adjust the redundancy ratio, thereby optimizing the error correction performance. The system aims to achieve near-perfect transmission rates by proactively responding to noise variations. This approach represents a significant departure from static redundancy schemes and offers a pathway toward more robust and efficient quantum communication. The key metrics evaluated include bit error rate (BER) and the effective quantum information rate (EQIR). The theoretical framework is presented, and the adaptive redundancy coding strategy is detailed.

DOI: 10.5281/zenodo.22221320

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