Quantum Entanglement Encoding for Semantic Retrieval

This paper explores a novel approach to semantic retrieval leveraging quantum entanglement as a high-density information encoding method. Traditional semantic search methods, reliant on keyword matching and vector similarity, face limitations in accuracy and efficiency. We propose encoding semantic information into entangled quantum states, exploiting the inherent correlations within these states for advanced retrieval. The core mechanism involves manipulating entangled qubits to achieve ultra-precise filtering across multiple candidate semantic items, coupled with multi-dimensional association analysis. This approach promises a revolutionary shift in information retrieval by capitalizing on the density and correlation capabilities of quantum entanglement. The theoretical framework presented outlines the fundamental concepts and potential of this technology, focusing on the encoding process, the entanglement manipulation techniques, and the retrieval algorithm. We demonstrate the potential for significantly improved retrieval accuracy and speed compared to conventional methods.