106 citations
- Fraunhofer Institute for Applied Solid State PhysicsDE2 papers
- Baden-Wuerttemberg Cooperative State UniversityDE1 paper
- ETH ZurichCH1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- King's College LondonGB1 paper
- King's College SchoolGB1 paper
- MVZ Labor RavensburgDE1 paper
- University of DubaiAE1 paper
- University of KonstanzDE1 paper
- University of NottinghamGB1 paper
- University of OxfordGB1 paper
- University of StuttgartDE1 paper
4 papers
Extrapolation method to optimize linear-ramp QAOA parameters: Evaluation of QAOA runtime scaling
Vanessa Dehn, Martin Zaefferer, Gerhard Hellstern +3
The Quantum Approximate Optimization Algorithm (QAOA) has been suggested as a promising candidate for the solution of combinatorial optimization problems. Yet, whether - or under w…
End-to-End Deep Learning in Phase Noisy Coherent Optical Link
Omar Alnaseri, Yassine Himeur
In coherent optical orthogonal frequency-division multiplexing (CO-OFDM) fiber communications, a novel end-to-end learning framework to mitigate Laser Phase Noise (LPN) impairments…
Benchmarking the performance of portfolio optimization with QAOA
Sebastian Brandhofer, Daniel Braun, Vanessa Dehn +6
We present a detailed study of portfolio optimization using different versions of the quantum approximate optimization algorithm (QAOA). For a given list of assets, the portfolio o…
Characterizing Grounded Theory Approaches in Visualization
Alexandra Diehl, Alfie Abdul-Rahman, Benjamin Bach +5
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typ…