2 citations · 3 across the 14 of their papers we have counts for
17 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…
Quantum Fanout Gates in Constant Depth via Resonance Engineering
Johannes Alexander Jaeger, Elias Zapusek, Florentin Reiter
We present a novel implementation of an n-qubit fanout gate using resonance engineering. Our proposed mechanism uses Jaynes-Cummings interactions between multiple qubits and a comm…
Quantum theory for phonon lasing and non-classical state generation in mixed-species and single trapped ions
David Baur, Tanja Behrle, Ivan Rojkov +4
In this article we present a comprehensive theoretical investigation of phonon lasing with mixed-species trapped ions, as demonstrated in [T. Behrle, Phys. Rev. Lett. 131 (2023)],…
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…
Learning Reduced Representations for Quantum Classifiers
Patrick Odagiu, Vasilis Belis, Lennart Schulze +6
Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this im…