HYBRID QUANTUM OPTIMIZATION OF DISTILBERT FOR EFFICIENT NATURAL LANGUAGE PROCESSING
The authors created a hybrid quantum-classical model for efficient sentiment classification based on Frozen Distilled Bidirectional Encoder Representations from Transformers (frozen dBERT), supervised dimensionality reduction, variational quantum learning, and residual integration. The binary Stanford Sentiment Treeban...