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Journal Articles
- 2023
[j1]Simon C. Marshall, Casper Gyurik, Vedran Dunjko:
High Dimensional Quantum Machine Learning With Small Quantum Computers. Quantum 7: 1078 (2023)
Conference and Workshop Papers
- 2021
- [c1]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko:
Parametrized Quantum Policies for Reinforcement Learning. NeurIPS 2021: 28362-28375
Informal and Other Publications
- 2024
- [i6]Simon C. Marshall, Jan H. Kirchner:
Understanding polysemanticity in neural networks through coding theory. CoRR abs/2401.17975 (2024) - [i5]Scott Aaronson, Sabee Grewal, Vishnu Iyer, Simon C. Marshall, Ronak Ramachandran:
PDQMA = DQMA = NEXP: QMA With Hidden Variables and Non-collapsing Measurements. CoRR abs/2403.02543 (2024) - [i4]Simon C. Marshall, Casper Gyurik, Vedran Dunjko:
On Bounded Advice Classes. CoRR abs/2405.18155 (2024) - 2023
- [i3]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko:
Shadows of quantum machine learning. CoRR abs/2306.00061 (2023) - 2022
- [i2]Simon C. Marshall, Casper Gyurik, Vedran Dunjko:
High Dimensional Quantum Learning With Small Quantum Computers. CoRR abs/2203.13739 (2022) - 2021
- [i1]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko:
Variational quantum policies for reinforcement learning. CoRR abs/2103.05577 (2021)
Coauthor Index
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