11 citations · 18 across the 8 of their papers we have counts for
8 papers
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…
Adaptive folding and noise filtering for robust quantum error mitigation
Kathrin F. Koenig, Finn Reinecke, Thomas Wellens
Coping with noise in quantum computation poses significant challenges due to its unpredictable nature and the complexities of accurate modeling. This paper presents noise-adaptive…
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…
Pattern-based quantum functional testing
Erik Weiss, Marcel Cech, Stanislaw Soltan +4
With the growing number of qubits of quantum information processing devices, the task of fully characterizing these processors becomes increasingly unfeasible. From a practical per…
Inverted-circuit zero-noise extrapolation for quantum gate error mitigation
Kathrin F. Koenig, Finn Reinecke, Walter Hahn +1
A common approach to deal with gate errors in modern quantum-computing hardware is zero-noise extrapolation. By artificially amplifying errors and extrapolating the expectation val…
Spin coherence in strongly coupled spin baths in quasi-two-dimensional layers
Philip Schätzle, Reyhaneh Ghassemizadeh, Daniel F. Urban +5
We investigate the spin-coherence decay of NV-spins interacting with the strongly-coupled bath of nitrogen defects in diamond layers. For thin diamond layers, we demonstrate th…