Quantum AI is revolutionizing Natural Language Processing (NLP) by leveraging quantum computing's unique properties to improve performance over classical counterparts. Quantum Neural Networks (QNNs) combine strengths of both quantum computing and neural networks, efficiently processing complex linguistic data for tasks like language modeling and machine translation. Quantum Support Vector Machines (QSVM) utilize quantum parallelism to speed up kernel function computations, outperforming classical support vector machines in certain tasks. Researchers are also exploring Quantum k-Means for clustering tasks and developing robust noise-resilient quantum algorithms for large-scale NLP applications. With advancements in quantum computing hardware, practical quantum AI applications are emerging, driving innovation in fields like computer vision and materials science.
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