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 | 93 | 2018 |
Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... Quantum 4, 314, 2020 | 43 | 2020 |
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 | 18 | 2021 |
A variational toolbox for quantum multi-parameter estimation JJ Meyer, J Borregaard, J Eisert arXiv preprint arXiv:2006.06303, 2020 | 10 | 2020 |
Fisher Information in Noisy Intermediate-Scale Quantum Applications JJ Meyer arXiv preprint arXiv:2103.15191, 2021 | | 2021 |
Gradients just got more flexible JJ Meyer Quantum Views 5, 50, 2021 | | 2021 |