249 citations · 289 across the 15 of their papers we have counts for
3 papers · 1 filter
Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Tobias Fellner, David Kreplin, Samuel Tovey +1
Variational quantum machine learning algorithms have been proposed as promising tools for time series prediction, with the potential to handle complex sequential data more effectiv…
Generating Quantum Reservoir State Representations with Random Matrices
Samuel Tovey, Tobias Fellner, Christian Holm +1
We demonstrate a novel approach to reservoir computation measurements using random matrices. We do so to motivate how atomic-scale devices could be used for real-world computationa…
Robustness of quantum algorithms against coherent control errors
Julian Berberich, Daniel Fink, Christian Holm
Coherent control errors, for which ideal Hamiltonians are perturbed by unknown multiplicative noise terms, are a major obstacle for reliable quantum computing. In this paper, we pr…