Quantum Entanglement Information Encoding and Decoding: A Dynamic Entropy Adjustment
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers unparalleled potential for secure communication and advanced computation. This research explores the implementation of a dynamic entropy adjustment scheme to stabilize quantum entanglement, enabling more precise quantum information transfer and decoding. The core claim centers around leveraging this dynamic adjustment to control entanglement evolution, thereby enhancing the reliability and efficiency of quantum information processing. Current approaches often rely on static entanglement management, necessitating a novel mechanism to dynamically control the state. This work introduces a system that uses a controlled evolution of the entangled state to induce specific properties, offering a pathway to overcome limitations inherent in existing encoding strategies. The resulting system demonstrates improved entanglement fidelity and a potential shift towards more robust and flexible quantum communication protocols.