Simon C Marshall 个人学术档案

202020212022202320241 9 37 72 59

开放获取的出版物数量

3 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

Vedran DunjkoLeiden University在 liacs.leidenuniv.nl 的电子邮件经过验证
Casper GyurikPhD student, Leiden Institute of Advanced Computer Science, Leiden university.在 liacs.leidenuniv.nl 的电子邮件经过验证
Sofiene JerbiFreie Universität Berlin在 fu-berlin.de 的电子邮件经过验证
Hans J BriegelProfessor of Theoretical Physics, University of Innsbruck在 uibk.ac.at 的电子邮件经过验证
Jan Hendrik KirchnerOpenAI在 openai.com 的电子邮件经过验证
Jordi Tura i BruguésApplied Quantum Algorithms group, Leiden University在 lorentz.leidenuniv.nl 的电子邮件经过验证
Scott AaronsonDavid J. Bruton Centennial Professor of Computer Science, University of Texas at Austin
Stefano PollaLeiden University在 umail.leidenuniv.nl 的电子邮件经过验证

Simon C Marshall

在 liacs.leidenuniv.nl 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Parametrized quantum policies for reinforcement learning S Jerbi, C Gyurik, S Marshall, H Briegel, V Dunjko Advances in Neural Information Processing Systems 34, 28362-28375, 2021	140	2021
High dimensional quantum machine learning with small quantum computers SC Marshall, C Gyurik, V Dunjko Quantum 7, 1078, 2023	18	2023
Shadows of quantum machine learning S Jerbi, C Gyurik, SC Marshall, R Molteni, V Dunjko Nature Communications 15 (1), 5676, 2024	13	2024
High dimensional quantum learning with small quantum computers SC Marshall, C Gyurik, V Dunjko arXiv preprint arXiv:2203.13739, 2022	4	2022
All this for one qubit? Bounds on local circuit cutting schemes SC Marshall, J Tura, V Dunjko arXiv preprint arXiv:2303.13422, 2023	2	2023
Understanding polysemanticity in neural networks through coding theory SC Marshall, JH Kirchner arXiv preprint arXiv:2401.17975, 2024	1	2024
On Bounded Advice Classes S Marshall, C Gyurik, V Dunjko arXiv preprint arXiv:2405.18155, 2024		2024
PDQMA= DQMA= NEXP: QMA With Hidden Variables and Non-collapsing Measurements S Aaronson, S Grewal, V Iyer, SC Marshall, R Ramachandran arXiv preprint arXiv:2403.02543, 2024		2024
Understanding polysemanticity and improved interpretability in neural networks through coding theory SC Marshall, JH Kirchner

系统目前无法执行此操作，请稍后再试。

文章 1–9

每年引用数