From the 1 of 17 linked papers with an AI index.
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Navigating the Socio-Technical Complexity Challenge in Quantum Software Ecosystems
Ronja Heikkinen, Santiago Núñez-Corrales, Vlad Stirbu
The paper proposes a socio‑technical framework for evaluating and selecting quantum computing environments, introducing constructs such as gravity wells and socio‑technical desider…
Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
Petrus Lipsanen, Liisa Rannikko, François Christophe +3
Generative AI (GenAI) is reshaping software engineering by shifting development from manual coding toward agent-driven implementation. While vibe coding promises rapid prototyping,…
Towards Shift-Up: A Framework and a Prestudy on High-Value Activities in GenAI Native Software Development
Vlad Stirbu, Mateen Ahmed Abbasi, Teerath Das +8
Generative AI (GenAI) has significantly influenced software engineering. Associated tools have created a shift in software engineering, where specialized agents, based on user-prov…
Towards regulatory compliant lifecycle for AI-based medical devices in EU: Industry perspectives
Tuomas Granlund, Vlad Stirbu, Tommi Mikkonen
Despite the immense potential of AI-powered medical devices to revolutionize healthcare, concerns regarding their safety in life-critical applications remain. While the European re…
Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator
Juha Reinikainen, Vlad Stirbu, Teiko Heinosaari +2
Quantum computing is a highly abstract scientific discipline, which, however, is expected to have great practical relevance in future information technology. This forces educators…
Exposing the hidden layers and interplay in the quantum software stack
Vlad Stirbu, Arianne Meijer-van de Griend, Jake Muff
Current and near-future quantum computers face resource limitations due to noise and low qubit counts. Despite this, effective quantum advantage can still be achieved due to the ex…