# Synthesis of Quantum Vector Databases Based on Grovers Algorithm

arXiv: https://arxiv.org/abs/2306.15295 · HTML: https://mlsanity.com/paper/2306.15295/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jun 2023.

## Built on by (most cited first, 1 of 1)

- [Quantum Natural Language Processing](https://mlsanity.com/paper/2403.19758/) (2024)

## Abstract (arXiv)

This paper describes a method for using Grovers algorithm to create a quantum vector database, the database stores embeddings based on Controlled-S gates, which represent a binary numerical value. This value represents the embeddings value. The process of creating meaningful embeddings is handled by a classical computer and the search process is handled by the quantum computer. This search approach might be beneficial for a large enough database, or it could be seen as a very qubit-efficient (super dense) way for storing data on a quantum computer, since the proposed circuit stores many embeddings inside one quantum register simultaneously.