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View All on GitHubAI Summary: The task involves integrating Grover's quantum search algorithm into an existing AI system for improved semantic search, recommendation systems, and decision-making. This requires adapting the provided Java code to handle quantum-like operations (simulated classically) on embedding vectors representing data points, and evaluating its performance against classical methods. The project focuses on a neuromorphic cognitive hardware engine, and the issue details a quantum AI search implementation.
AI Summary: Adapt a Grover's algorithm implementation (using XOR) to create a functional quantum search module for an AI system. This module should integrate into an information retrieval or decision-making mechanism, leveraging the algorithm's speedup for searching within a non-structured space. The task involves implementing the algorithm in Java, defining an oracle function (to represent the search condition), and demonstrating its use in a simple question-answering example. Consideration should be given to limitations and scalability.