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 | 82 | 2018 |
Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... Quantum 4, 314, 2020 | 37 | 2020 |
The effect of data encoding on the expressive power of variational quantum machine learning models M Schuld, R Sweke, JJ Meyer arXiv preprint arXiv:2008.08605, 2020 | 12 | 2020 |
A variational toolbox for quantum multi-parameter estimation JJ Meyer, J Borregaard, J Eisert arXiv preprint arXiv:2006.06303, 2020 | 9 | 2020 |
Gradients just got more flexible JJ Meyer Quantum Views 5, 50, 2021 | | 2021 |