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Paul K. Faehrmann
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Stochastic gradient descent for hybrid quantum-classical optimization
R Sweke, F Wilde, JJ Meyer, M Schuld, PK Fährmann, ...
Quantum 4, 314, 2020
2782020
Training quantum embedding kernels on near-term quantum computers
T Hubregtsen, D Wierichs, E Gil-Fuster, PJHS Derks, PK Faehrmann, ...
Physical Review A 106 (4), 042431, 2022
1012022
Randomizing multi-product formulas for Hamiltonian simulation
PK Faehrmann, M Steudtner, R Kueng, M Kieferová, J Eisert
Quantum 6, 806, 2022
46*2022
Perturbative gadgets for gate-based quantum computing: Nonrecursive constructions without subspace restrictions
S Cichy, PK Faehrmann, S Khatri, J Eisert
Physical Review A 109 (5), 052624, 2024
7*2024
Verifiable measurement-based quantum random sampling with trapped ions
M Ringbauer, M Hinsche, T Feldker, PK Faehrmann, J Bermejo-Vega, ...
arXiv preprint arXiv:2307.14424, 2023
62023
An access model for quantum encoded data
M Murça, PK Faehrmann, Y Omar
arXiv preprint arXiv:2412.01889, 2024
2024
Quantencomputer heute und in naher Zukunft: eine realistische Perspektive
PK Fährmann, JJ Meyer, J Eisert
Chancen und Risiken von Quantentechnologien: Praxis der zweiten …, 2023
2023
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Articles 1–7