11 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
Support Vector Machine with a Scalable Quantum Kernel
Anant Agnihotri, Michael Krebsbach, Florentin Reiter +1
Quantum support vector machines are classification algorithms that rely on quantum-generated kernels. The fidelity quantum kernel commonly used in quantum support vector machines s…
Random layers for quantum optimal control with exponential expressivity
Marco Dall'Ara, Martin Koppenhöfer, Florentin Reiter +3
A long-standing problem in quantum optimal control is finding an optimal pulse structure that leads to an efficient exploration of the unitary space with a minimal number of optimi…
Encoding Numerical Data for Generative Quantum Machine Learning
Michael Krebsbach, Florentin Reiter, Thomas Wellens +2
Generative quantum machine learning models are trained to deduce the probability distribution underlying a given dataset, and to produce new, synthetic samples from it. The majorit…