Quantum Entanglement Information Adaptive Algorithm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, holds immense potential for revolutionizing information processing and computation. However, harnessing this phenomenon effectively presents significant challenges, particularly in achieving precise measurements and demanding computational tasks. This paper introduces a novel quantum entanglement information adaptive algorithm, designed to dynamically adjust quantum entanglement strength based on environmental noise. This adaptive approach aims to significantly enhance the accuracy of quantum measurements and unlock the full potential of quantum systems. The algorithm leverages the inherent properties of entangled states as information carriers, employing a feedback mechanism to optimize the entangled state and achieve enhanced quantum precision. This research presents a fundamentally new method for controlling and manipulating quantum systems, representing a significant step towards more robust and versatile quantum technologies.

DOI: 10.5281/zenodo.22292242

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