This paper introduces TQNNs—an integration of transformer models with quantum computing. It explains how quantum entanglement and superposition accelerate data processing, achieving exponential speed and scalability compared to GPU-based TNNs. HCLTech’s framework demonstrates superior accuracy and parallelism in NLP and computer vision tasks. The hybrid model redefines deep learning efficiency and represents a milestone in the evolution of AI computation.

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