Designing a Research Data Pipeline for Quantum Computing Experiments

Quantum computing research generates large volumes of experimental data that require systematic storage, retrieval, and analysis. However, lightweight and accessible infrastructure for managing such data remains underexplored outside of large research institutions. This paper presents the design and implementation of a research data pipeline for quantum computing experiments. The system integrates a quantum circuit simulator, a REST API for data ingestion and retrieval, a structured metadata database, a statistical analysis module, and an automated PDF report generation system. The platform is containerized using Docker and validated through automated tests. The goal is to demonstrate how modern backend engineering tools can be applied to build reproducible and scalable research data infrastructure accessible to individual researchers and small teams.