7 citations · 7 across the 4 of their papers we have counts for
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quant-ph2026
Overcoming the Representational Limitations of Amplitude Encoding for Quantum Neural Networks
Vincent Gurgul, David Prinz
Quantum Neural Networks (QNNs) offer a framework for learning functions from classical data, but their expressive power depends critically on how inputs are encoded into quantum st…
cs.SE2026
The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
Vincent Gurgul, Robin Gubela, Stefan Lessmann
Generative Artificial Intelligence (GenAI) rapidly transforms software engineering, yet existing research remains fragmented across individual tasks in the Software Development Lif…
cs.LG2026
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
Vincent Gurgul, Ying Chen, Stefan Lessmann
This paper presents a Quantum Reinforcement Learning (QRL) solution to the dynamic portfolio optimization problem based on Variational Quantum Circuits. The implemented QRL approac…