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arXiv 2102.02204quant-phcs.CL
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量子自然语言处理中同义句的参数化量子线路

Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing

Isfahan University of Technology(伊斯法罕理工大学);Shahid Bahonar University of Kerman(克尔曼沙希德·巴霍纳尔大学);University of Basque Country UPV/EHU(巴斯克大学(UPV/EHU))

Mina Abbaszadeh, S. Shahin Mousavi, Vahid Salari

摘要:

在本文中,我们开发了一个基于合成向量的语义的正传递句子的量子自然语言处理的非英语语言,即波斯语,比较参数化的量子线路的两种语言,英语和波斯语的两个同义句子。通过考虑及物句的语法+意义,我们将DisCoCat图通过ZX-演算转化为量子线路的形式。在语义方面,我们还利用偶图的方法将DisCoCat图改写为量子线路。

英文摘要:

In this paper, we develop a compositional vector-based semantics of positive transitive sentences in quantum natural language processing for a non-English language, i.e. Persian, to compare the parametrized quantum circuits of two synonymous sentences in two languages, English and Persian. By considering grammar+meaning of a transitive sentence, we translate DisCoCat diagram via ZX-calculus into quantum circuit form. Also, we use a bigraph method to rewrite DisCoCat diagram and turn into quantum circuit in the semantic side.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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