Based Quantum Entanglement for Adaptive Information Entropy Estimation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the potential of quantum entanglement for significantly enhanced information entropy estimation. Traditional methods often suffer from limitations in efficiency and accuracy. We propose a novel quantum entanglement-based algorithm designed for high-precision and low-latency entropy calculations. The core mechanism relies on exploiting the unique properties of entanglement to refine the estimation process and achieve adaptive adjustments, addressing the limitations of classical approaches. The algorithm's design incorporates a feedback loop to dynamically optimize the estimation process based on real-time data, promising to overcome the constraints of conventional entropy estimation techniques. This research explores the theoretical foundations and practical implementation of this approach, offering a promising avenue for advancements in quantum information processing.

DOI: 10.5281/zenodo.22266321

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