State of the Quantum Software Engineering Ecosystem

2026-01-05

arXiv.org

AI Summary

This study systematically maps the active academic and industrial stakeholders in the quantum software engineering ecosystem, identifying high-impact research institutions and well-funded startups. Addressing the current lack of comprehensive analyses in this emerging field, it pioneers the application of state-of-the-art large language models—such as GPT-5—in ecosystem reconnaissance. By integrating natural language processing and information extraction techniques, the work enables efficient collection and evaluation of scholarly outputs and entrepreneurial activities. The project not only demonstrates the feasibility of leveraging large language models for specialized technological ecosystem analysis but also delivers quantitative insights and a structured map of key contributors shaping the landscape of quantum software engineering.

Technology Category

• Machine Learning: Quantum Machine Learning
• Application Domains: Software Engineering
• Knowledge Representation and Reasoning: Qualitative Reasoning

Application Category

• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs
• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

We study the current state of the Quantum Software Engineering (QSE) ecosystem, focusing on the achievements, activities, and engagements from academia and industry, with a special focus on successful entrepreneurial endeavors in this arena. Our research methodology is a novel one, featuring the state-of-the-art in Artificial Intelligence (AI), namely Large Language Models (LLMs), especially Generative Pretrained Transformers (GPT). We use one of such models, namely the OpenAI GPT-5 model, through the ChatGPT tool. The goal is to identify institutions and companies that are highly active and have achieved distinguished results in QSE, evidenced by peer-reviewed publications or raised capital in the venture capital market.

Problem

• Quantum Software Engineering
• ecosystem
• institutional activity
• venture capital
• peer-reviewed publications

Innovation

• Large Language Models
• Quantum Software Engineering
• GPT-5
• AI-driven research methodology
• Generative Pretrained Transformers