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Johannes Jakob Meyer
Johannes Jakob Meyer
Graduate Student, Dahlem Center for Complex Quantum Systems, FU Berlin
Bestätigte E-Mail-Adresse bei fu-berlin.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin, MS Alam, S Ahmed, ...
arXiv preprint arXiv:1811.04968, 2018
2952018
Effect of data encoding on the expressive power of variational quantum-machine-learning models
M Schuld, R Sweke, JJ Meyer
Physical Review A 103 (3), 032430, 2021
1622021
Stochastic gradient descent for hybrid quantum-classical optimization
R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ...
Quantum 4, 314, 2020
1302020
A variational toolbox for quantum multi-parameter estimation
JJ Meyer, J Borregaard, J Eisert
npj Quantum Information 7 (1), 1-5, 2021
312021
Fisher information in noisy intermediate-scale quantum applications
JJ Meyer
Quantum 5, 539, 2021
282021
Encoding-dependent generalization bounds for parametrized quantum circuits
MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke
Quantum 5, 582, 2021
232021
Training quantum embedding kernels on near-term quantum computers
T Hubregtsen, D Wierichs, E Gil-Fuster, PJHS Derks, PK Faehrmann, ...
arXiv preprint arXiv:2105.02276, 2021
182021
Exploiting symmetry in variational quantum machine learning
JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani, A Wilms, J Eisert
arXiv preprint arXiv:2205.06217, 2022
72022
Gradients just got more flexible
JJ Meyer
Quantum Views 5, 50, 2021
22021
Classical surrogates for quantum learning models
FJ Schreiber, J Eisert, JJ Meyer
arXiv preprint arXiv:2206.11740, 2022
2022
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