The expected outcomes of this research include: 1) A feature representation learning framework based on quantum entangled states that can capture the complex correlations of quantum states in quantum information processing. 2) Experimental validation demonstrating the framework's versatility and efficiency in fields such as quantum computing and quantum communication, particularly in quantum state classification and reconstruction tasks. 3) A new theoretical framework and technical tool for the quantum machine learning field, advancing related technologies. 4) New application scenarios and optimization ideas for OpenAI’s models and systems, particularly in handling quantum information data. These outcomes will enhance OpenAI models' capabilities in quantum information processing, promoting their applications in more fields.