22 citations · 42 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment Updates
Zeynab Kaseb, Matthias Moller, Lindsay Spoor +4
The Newton-Raphson (NR) method is widely used for solving power flow (PF) equations due to its quadratic convergence. However, its performance deteriorates under poor initializatio…
QuAS: Quantum Application Score for benchmarking the utility of quantum computers
Koen J. Mesman, Ward van der Schoot, Matthias Möller +1
Benchmarking quantum computers helps to quantify them and bringing the technology to the market. Various application-level metrics exist to benchmark a quantum device at an applica…
On the importance of data encoding in quantum Boltzmann methods
Merel A. Schalkers, Matthias Möller
In recent years, quantum Boltzmann methods have gained more and more interest as they might provide a viable path towards solving fluid dynamics problems on quantum computers once…
A p-multigrid method enhanced with an ILUT smoother and its comparison to h-multigrid methods within Isogeometric Analysis
R. Tielen, M. Möller, D. Göddeke +1
Over the years, Isogeometric Analysis has shown to be a successful alternative to the Finite Element Method (FEM). However, solving the resulting linear systems of equations effici…