Quantum Entanglement State Prediction based on Quantum States

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum state prediction algorithm predicated on the principles of quantum entanglement. Traditional approaches to quantum state prediction often struggle with the complexities inherent in quantum state evolution, necessitating a more sophisticated methodology. We propose a new algorithmic framework that leverages the unique properties of quantum entanglement to model and predict the trajectory of quantum states. This algorithm utilizes a closed-form mathematical representation of entangled states to achieve a significant improvement in prediction accuracy compared to existing methods. The paper details the algorithm's architecture, the underlying mathematical foundations, and provides a preliminary analysis of its performance on a set of benchmark quantum systems. The core claim of this work is that this algorithm offers a pathway towards more precise and efficient quantum system design through enhanced state prediction capabilities.

DOI: 10.5281/zenodo.22200941

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