Quantum Error Correction for Distributed Sensor Networks

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the application of quantum error correction (QEC) techniques to construct highly resilient distributed sensor networks. Traditional sensor networks suffer from significant data corruption due to noise and environmental factors, limiting their precision and reliability. Leveraging the principles of QEC, this research proposes a framework for encoding sensor data using quantum error-correcting codes and transmitting this encoded data across a distributed network. The subsequent decoding process, employing appropriate error correction algorithms, recovers the original, uncorrupted data. The core claim of this work is that the integration of QEC with distributed sensor networks enables the attainment of unparalleled accuracy and robustness in environmental data acquisition and transmission. We outline the key components of this system, focusing on the selection of suitable QEC codes and the design of efficient decoding strategies. The potential impact of this approach on various applications, including environmental monitoring, structural health monitoring, and precision agriculture, is discussed. ---

DOI: 10.5281/zenodo.22612065

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