Quantum Entanglement Information Entropy Adaptive Computation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, holds the potential for revolutionary computational capabilities. This paper explores the application of entanglement-based information entropy to a novel adaptive computing approach. We propose a method that leverages the unique properties of entangled quantum states to achieve precise computations and information extraction across a broader range of quantum systems. This work investigates the design of a specialized calculation model based on entangled states, emphasizing the extraction and analysis of entangled states. The core claim is that this approach offers significantly enhanced computational efficiency and precision compared to traditional methods, particularly for complex quantum states. The research will demonstrate the feasibility of scaling this approach to more complex sub-systems.

DOI: 10.5281/zenodo.22264553

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