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.
Cite
@article{arxiv.2102.02204,
title = {Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing},
author = {Mina Abbaszadeh and S. Shahin Mousavi and Vahid Salari},
journal= {arXiv preprint arXiv:2102.02204},
year = {2021}
}