| Pennylane: Automatic differentiation of hybrid quantum-classical computations V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ... arXiv preprint arXiv:1811.04968, 2018 | 1010 | 2018 |
| 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 | 561 | 2021 |
| Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... Quantum 4, 314, 2020 | 264 | 2020 |
| Exploiting symmetry in variational quantum machine learning JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani, A Wilms, J Eisert PRX Quantum 4 (1), 010328, 2023 | 149 | 2023 |
| Fisher information in noisy intermediate-scale quantum applications JJ Meyer Quantum 5, 539, 2021 | 113 | 2021 |
| Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021 | 107 | 2021 |
| 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 | 91 | 2022 |
| A variational toolbox for quantum multi-parameter estimation JJ Meyer, J Borregaard, J Eisert npj Quantum Information 7 (1), 89, 2021 | 84 | 2021 |
| Exponentially tighter bounds on limitations of quantum error mitigation Y Quek, D Stilck França, S Khatri, JJ Meyer, J Eisert Nature Physics, 1-11, 2024 | 73 | 2024 |
| Classical surrogates for quantum learning models FJ Schreiber, J Eisert, JJ Meyer Physical Review Letters 131 (10), 100803, 2023 | 48 | 2023 |
| Quantum metrology in the finite-sample regime JJ Meyer, S Khatri, DS França, J Eisert, P Faist arXiv preprint arXiv:2307.06370, 2023 | 20 | 2023 |
| Potential and limitations of random fourier features for dequantizing quantum machine learning R Sweke, E Recio, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, JJ Meyer arXiv preprint arXiv:2309.11647, 2023 | 11 | 2023 |
| Gradients just got more flexible JJ Meyer Quantum Views 5, 50, 2021 | 2 | 2021 |
| Single-shot quantum machine learning E Recio-Armengol, J Eisert, JJ Meyer arXiv preprint arXiv:2406.13812, 2024 | 1 | 2024 |
| Tomography of parametrized quantum states FJ Schreiber, J Eisert, JJ Meyer arXiv preprint arXiv:2407.12916, 2024 | | 2024 |
| Variational quantum algorithm for enhanced continuous variable optical phase sensing JAH Nielsen, M Kicinski, TN Arge, K Vijayadharan, J Foldager, ... arXiv preprint arXiv:2312.13870, 2023 | | 2023 |
| 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 |
Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center BerlinBestätigte E-Mail-Adresse bei physik.fu-berlin.de
