34 citations · 109 across the 8 of their papers we have counts for
9 papers
Loss Behavior in Supervised Learning with Entangled States
Alexander Mandl, Johanna Barzen, Marvin Bechtold +2
Quantum Machine Learning (QML) aims to leverage the principles of quantum mechanics to speed up the process of solving machine learning problems or improve the quality of solutions…
Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects
Marvin Bechtold, Johanna Barzen, Frank Leymann +1
Scaling beyond individual quantum devices via distributed quantum computing relies critically on high-fidelity quantum state transfers between devices, yet the quantum interconnect…
Joint Wire Cutting with Non-Maximally Entangled States
Marvin Bechtold, Johanna Barzen, Frank Leymann +2
Distributed quantum computing leverages the collective power of multiple quantum devices to perform computations exceeding the capabilities of individual quantum devices. A current…
Cutting a Wire with Non-Maximally Entangled States
Marvin Bechtold, Johanna Barzen, Frank Leymann +1
Distributed quantum computing supports combining the computational power of multiple quantum devices to overcome the limitations of individual devices. Circuit cutting techniques e…
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…
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…