AI RESEARCH
QCSE: A Pretrained Quantum Context-Sensitive Word Embedding for Natural Language Processing
arXiv CS.CL
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ArXi:2509.05729v2 Announce Type: replace Quantum Natural Language Processing (QNLP) offers a novel approach to encoding and understanding the complexity of natural languages through the power of quantum computation. This paper presents a pretrained quantum context-sensitive embedding model, called QCSE, that captures context-sensitive word embeddings, leveraging the unique properties of quantum systems to learn contextual relationships in languages. The model