Quantum Information Path Dependency Modeling
Jincheng Zhang
Abstract
Quantum information path dependency describes the phenomenon where the evolution of a quantum system is influenced by past states, leading to complex and unpredictable behavior. This research focuses on developing a novel path dependency model leveraging quantum entanglement to enhance information transfer and enable more accurate predictions of quantum algorithm performance. We propose a new framework that utilizes entangled qubit states to establish a dynamic path, allowing for more precise and robust information flow. This approach offers a significant improvement over traditional models by introducing a fundamental element of entanglement into the system's dynamics. The development of this model promises to provide a deeper understanding of quantum systems and facilitate more efficient quantum computation.