231 citations · 580 across the 29 of their papers we have counts for
7 papers · 1 filter
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…
Circuit Cutting with Non-Maximally Entangled States
Marvin Bechtold, Johanna Barzen, Frank Leymann +1
Distributed quantum computing combines the computational power of multiple devices to overcome the limitations of individual devices. Circuit cutting techniques enable the distribu…
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
Alireza Furutanpey, Johanna Barzen, Marvin Bechtold +4
Quantum processing units (QPUs) are currently exclusively available from cloud vendors. However, with recent advancements, hosting QPUs is soon possible everywhere. Existing work h…
Comparing Quantum Service Offerings
Julian Obst, Johanna Barzen, Martin Beisel +3
With the emergence of quantum computing, a growing number of quantum devices is accessible via cloud offerings. However, due to the rapid development of the field, these quantum-sp…
Amplitude amplification-inspired QAOA: Improving the success probability for solving 3SAT
Alexander Mandl, Johanna Barzen, Marvin Bechtold +2
The Boolean satisfiability problem (SAT), in particular 3SAT with its bounded clause size, is a well-studied problem since a wide range of decision problems can be reduced to it. D…
Warm-Starting and Quantum Computing: A Systematic Mapping Study
Felix Truger, Johanna Barzen, Marvin Bechtold +4
Due to low numbers of qubits and their error-proneness, Noisy Intermediate-Scale Quantum (NISQ) computers impose constraints on the size of quantum algorithms they can successfully…
Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices
Marvin Bechtold, Johanna Barzen, Frank Leymann +4
Noisy Intermediate-Scale Quantum (NISQ) devices are restricted by their limited number of qubits and their short decoherence times. An approach addressing these problems is quantum…