Quantum Entanglement-Enabled Adaptive Error Correction for Topological Qubit Encoding

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum error correction leveraging the strengths of quantum entanglement and topological qubit encoding. The core concept centers around constructing a self-adaptive error correction system capable of dynamically adjusting its correction strategy and maintaining encoded information integrity despite the detrimental effects of decoherence. The system utilizes topological qubits, encoding information through non-local properties, and employs quantum entanglement for redundant data transmission. A key component is a machine learning algorithm that analyzes decoherence signals in real-time, allowing for the intelligent modification of the error correction protocol – specifically, adjusting the length of the Error Correction Codes (ECC) or altering the overall strategy. The proposed framework addresses the limitations of traditional quantum encoding methods, which often succumb to information loss due to environmental noise, by providing a resilient and adaptable solution. This research presents a significant step towards robust quantum information processing.

DOI: 10.5281/zenodo.22138072

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