State of the Quantum Software Engineering Ecosystem
Nazanin Siavash, Armin Moin

TL;DR
This paper assesses the current state of the Quantum Software Engineering ecosystem, highlighting achievements, key players, and entrepreneurial activities using advanced AI tools like GPT-5 for analysis.
Contribution
It introduces a novel methodology leveraging Large Language Models, particularly GPT-5, to analyze and identify leading institutions and companies in QSE.
Findings
Identification of highly active institutions and companies in QSE
Insights into successful entrepreneurial ventures in quantum software
Use of GPT-5 for ecosystem analysis
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.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Artificial Intelligence in Healthcare and Education · Scientific Computing and Data Management
