4 citations · 4 across the 3 of their papers we have counts for
4 papers
Harnessing Patterns to Support the Development of Hybrid Quantum Applications
Daniel Vietz, Martin Beisel, Johanna Barzen +3
Quantum computing provides computational advantages in various domains. To benefit from these advantages complex hybrid quantum applications must be built, which comprise both quan…
On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data
Alexander Mandl, Johanna Barzen, Frank Leymann +1
Training classical neural networks generally requires a large number of training samples. Using entangled training samples, Quantum Neural Networks (QNNs) have the potential to sig…
Quantum Software Development Lifecycle
Benjamin Weder, Johanna Barzen, Frank Leymann +1
With recent advances in the development of more powerful quantum computers, the research area of quantum software engineering is emerging, having the goal to provide concepts, prin…
Quantum in the Cloud: Application Potentials and Research Opportunities
Frank Leymann, Johanna Barzen, Michael Falkenthal +3
Quantum computers are becoming real, and they have the inherent potential to significantly impact many application domains. We sketch the basics about programming quantum computers…