# Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing

arXiv: https://arxiv.org/abs/2102.02204 · HTML: https://mlsanity.com/paper/2102.02204/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 15 references that are in the map.
- First posted on arXiv 2 Feb 2021.

## Builds on (most cited first, 6 of 6)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Foundations for Near-Term Quantum Natural Language Processing](https://mlsanity.com/paper/2012.03755/) (2020)
- [Quantum Natural Language Processing on Near-Term Quantum Computers](https://mlsanity.com/paper/2005.04147/) (2020)
- [The Frobenius anatomy of word meanings I: subject and object relative pronouns](https://mlsanity.com/paper/1404.5278/) (2014)
- [A hybrid classical-quantum workflow for natural language processing](https://mlsanity.com/paper/2004.06800/) (2020)
- [Applying Distributional Compositional Categorical Models of Meaning to Language Translation](https://mlsanity.com/paper/1811.03274/) (2018)

## Built on by (most cited first, 2 of 2)

- [Comparing in context: Improving cosine similarity measures with a metric tensor](https://mlsanity.com/paper/2203.14996/) (2022)
- [Enabling Quantum Natural Language Processing for Hindi Language](https://mlsanity.com/paper/2312.01221/) (2023)

## Abstract (arXiv)

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.