Quantum-Guided Algorithm for Data Compression (QGDC)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum-Guided Algorithm for Data Compression (QGDC) is a novel algorithm designed to revolutionize data compression by leveraging the principles of quantum entanglement. This research investigates a quantum-assisted compression technique that focuses on identifying and exploiting subtle statistical correlations within data, offering the potential for significantly improved compression rates and error reduction compared to traditional methods. The core mechanism centers around establishing a 'quantum signature' – a unique quantum state representing the data's statistical characteristics – and utilizing entanglement to accelerate the compression and decompression processes. This paper explores the theoretical underpinnings of QGDC, detailing its architecture, the role of quantum entanglement, and a preliminary assessment of its performance. The results demonstrate a promising level of compression efficiency and error reduction, showcasing the potential of quantum-guided compression.

DOI: 10.5281/zenodo.22474834

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