Quantum Entanglement Information Entropy Adaptive Computation Model

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers the potential for unprecedented computational capabilities. This research explores the utilization of quantum entanglement to enhance information processing and measurement, specifically focusing on the accurate quantification of quantum entanglement information entropy. We propose a novel computational model leveraging entangled states to achieve precise measurement and computation, ultimately aiming to improve the efficiency and security of quantum computations. This paper details the core concepts, proposed mechanisms, and potential benefits of this approach. The study will highlight the integration of quantum entanglement with existing computational methods to address limitations in current quantum computing paradigms. The core claim is that the proposed model offers a significant advancement in the measurement and entropy computation of quantum entanglement, contributing to a more robust and efficient quantum system.

DOI: 10.5281/zenodo.22294435

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