Study On Word Similarity Based On Quantum Theory

In recent years,with the development of artificial intelligence,natural language processing has become particularly important.Quantum theory has the characteristics of superposition,entanglement,incompatibility and interference,which make it an excellent modeling framework.On the task of polysemy and sentence matching,we explore the ability of quantum theory as a framework for capturing sentence meaning and modeling semantic processes.In this paper,the recent research status,the characteristics of quantum theory and some basic concepts are introduced.Secondly,the discriminate of polysemy based on quantum theory is introduced.When a polysemy appears in a sentence,it can be paired with its explanations according to the concept of fidelity,and the best explanation can be found.Finally,the method of sentence similarity is introduced.We use quantum states to construct the semantic Hilbert space and calculate the fidelity of information during sentence information transformation.And the similarity of the sentence is obtained by combining word embedding technology to represent words or concepts in semantic vector spaces.On the sentence matching data set constructed in a real business scenario,the simulation data shows that the proposed method has achieved better results than traditional methods.The method proposed in this paper provides a new idea for the study of similarity of multiple sentences in the future,and is also a breakthrough in the interdisciplinary study of computer science and quantum theory,which has potential application significance.