| Quantum computational advantage via high-dimensional Gaussian boson sampling A Deshpande, A Mehta, T Vincent, N Quesada, M Hinsche, M Ioannou, ... Science advances 8 (1), eabi7894, 2022 | 92* | 2022 |
| Shallow shadows: Expectation estimation using low-depth random Clifford circuits C Bertoni, J Haferkamp, M Hinsche, M Ioannou, J Eisert, H Pashayan Physical Review Letters 133 (2), 020602, 2024 | 50 | 2024 |
| One Gate Makes Distribution Learning Hard M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ... Physical Review Letters 130 (24), 240602, 2023 | 26 | 2023 |
| Learnability of the output distributions of local quantum circuits M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ... arXiv preprint arXiv:2110.05517, 2021 | 19 | 2021 |
| On the average-case complexity of learning output distributions of quantum circuits A Nietner, M Ioannou, R Sweke, R Kueng, J Eisert, M Hinsche, ... arXiv preprint arXiv:2305.05765, 2023 | 15 | 2023 |
| Classical verification of quantum learning MC Caro, M Hinsche, M Ioannou, A Nietner, R Sweke arXiv preprint arXiv:2306.04843, 2023 | 8 | 2023 |
| 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 | 4 | 2023 |
| Efficient distributed inner product estimation via Pauli sampling M Hinsche, M Ioannou, S Jerbi, L Leone, J Eisert, J Carrasco arXiv preprint arXiv:2405.06544, 2024 | 3 | 2024 |
Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center Berlin在 physik.fu-berlin.de 的电子邮件经过验证
