18 citations · 18 across the 4 of their papers we have counts for
4 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…
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…
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…
Optimization of Richardson extrapolation for quantum error mitigation
Michael Krebsbach, Björn Trauzettel, Alessio Calzona
Quantum error mitigation is a key concept for the development of practical applications based on current noisy intermediate scale quantum (NISQ) devices. One of the most promising…