Quantum Entanglement Information Modeling and Extraction
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a unique opportunity for information transfer and processing. This paper explores a novel approach to leveraging entanglement for information modeling and extraction, proposing a quantum computation framework based on adaptive computation and a highly efficient information extraction algorithm. We detail the core concept of utilizing entanglement as a communication channel, designing a specialized quantum computation framework, and developing an extraction method that exploits entanglement's properties. The paper introduces a comprehensive mathematical framework and illustrates the algorithm's performance through simulations and preliminary experiments. This work aims to advance the field of quantum information theory by demonstrating the potential of entanglement-based computation and information extraction.