OGC_Quantum_Circuit_Synthetic

# OGC_Quantum_Circuit_Synthetic – Overview

**OGC_Quantum_Circuit_Synthetic** is a curated multimodal dataset focused on synthetic quantum circuits. It combines generated circuit images with expert-level technical queries to support tasks such as RAG DSE, question answering, document search, and vision-language model training.

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## Dataset Composition

This dataset was created using our open-source tool **[OGC_pdf-to-parquet](https://github.com/RacineAIOS/OGC_pdf-to-parquet/tree/main)**, adapted to handle synthetic data.

Quantum circuit images and descriptions were generated programmatically using **[Qiskit’s standard gate library](https://quantum.cloud.ibm.com/docs/en/api/qiskit/circuit_library#standard-gates)**. These were then used in a custom pipeline to produce technical queries aligned with each circuit using **Google’s Gemini 2.5 Pro model**.

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## Dataset Structure

Each entry in the dataset contains:

- `id`: A unique identifier for the sample
- `query`: A synthetic technical question generated from a quantum circuit
- `image`: A visual rendering of the circuit diagram
- `language`: The detected language of the query

Each synthetic circuit produces 4 unique entries:
a main technical query, a secondary one, a visual-based question, and a multimodal semantic query.

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## Purpose

This dataset is designed to support:

- Training and evaluating vision-language models
- Developing multimodal search or retrieval systems
- Research in automated question generation for quantum circuits
- Exploring synthetic quantum circuits as a use case in AI workflows

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## Authors

- **Yumeng Ye**
- **Léo Appourchaux**

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# OGC_Quantum_Circuit_Synthetic – 概述

**OGC_Quantum_Circuit_Synthetic**是一套经精心筛选整理的多模态数据集，专注于合成量子电路。该数据集将生成的电路图像与专家级技术查询相结合，可支撑检索增强生成（Retrieval-Augmented Generation，RAG）设计空间探索（Design Space Exploration，DSE）、问答、文档检索以及视觉语言模型（Vision-Language Model）训练等任务。

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## 数据集构成

本数据集基于适配了合成数据处理流程的开源工具**[OGC_pdf-to-parquet](https://github.com/RacineAIOS/OGC_pdf-to-parquet/tree/main)**构建。

研究人员借助**[Qiskit 标准量子门库](https://quantum.cloud.ibm.com/docs/en/api/qiskit/circuit_library#standard-gates)**通过编程方式生成量子电路图像与描述文本，随后依托自定义流水线，结合**Google Gemini 2.5 Pro 模型**为每个电路生成匹配的专业技术查询。

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## 数据集结构

数据集中的每条样本包含以下字段：
- `id`：样本的唯一标识符
- `query`：基于量子电路生成的合成技术问题
- `image`：电路原理图的可视化渲染结果
- `language`：检测到的查询文本所用语言

每个合成量子电路可生成4条独特样本：1条主技术查询、1条子技术查询、1条基于视觉内容的问题以及1条多模态语义查询。

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## 数据集用途

本数据集旨在支持以下方向：
- 视觉语言模型的训练与评估
- 多模态检索或搜索系统的开发
- 量子电路自动化问答生成相关研究
- 探索合成量子电路在AI工作流中的应用场景

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## 作者

- **叶宇萌（Yumeng Ye）**
- **莱奥·阿普尔沙（Léo Appourchaux）**