Quantum computing has revolutionized AI, enabling machines to process vast amounts of data exponentially faster than classical computers. Quantum-inspired algorithms have been developed to run on classical hardware, improving efficiency and accuracy in applications like image recognition, speech processing, and predictive modeling. The integration of quantum mechanics with machine learning has led to the development of new techniques such as Quantum Support Vector Machines (QSVMs) and Quantum Neural Networks (QNNs). These advancements have shown promise in improving AI performance without requiring full-fledged quantum computers. Researchers are also exploring the intersection of quantum mechanics and AI, leading to breakthroughs in areas like machine learning, natural language processing, and computer vision.
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