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ORCIDSofiène Jerbi
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2020 – today
- 2023
[c3]Sofiène Jerbi, Arjan Cornelissen, Maris Ozols
, Vedran Dunjko:
Quantum Policy Gradient Algorithms. TQC 2023: 13:1-13:24- [i12]Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes:
The power and limitations of learning quantum dynamics incoherently. CoRR abs/2303.12834 (2023) - [i11]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko:
Shadows of quantum machine learning. CoRR abs/2306.00061 (2023) - [i10]Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer:
Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR abs/2309.11647 (2023) - [i9]Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel:
Variational measurement-based quantum computation for generative modeling. CoRR abs/2310.13524 (2023) - 2022
- [j2]Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner:
Operationally meaningful representations of physical systems in neural networks. Mach. Learn. Sci. Technol. 3(4): 45025 (2022) - [j1]Andrea Skolik, Sofiène Jerbi, Vedran Dunjko:
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning. Quantum 6: 720 (2022) - [c2]Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi:
Near-optimal Quantum algorithms for multivariate mean estimation. STOC 2022: 33-43 - [i8]Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko:
Reinforcement Learning Assisted Recursive QAOA. CoRR abs/2207.06294 (2022) - [i7]Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko:
Quantum policy gradient algorithms. CoRR abs/2212.09328 (2022) - 2021
- [c1]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko:
Parametrized Quantum Policies for Reinforcement Learning. NeurIPS 2021: 28362-28375 - [i6]Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko:
Variational quantum policies for reinforcement learning. CoRR abs/2103.05577 (2021) - [i5]Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko:
Quantum machine learning beyond kernel methods. CoRR abs/2110.13162 (2021) - [i4]Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi:
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation. CoRR abs/2111.09787 (2021) - 2020
- [i3]Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner:
Operationally meaningful representations of physical systems in neural networks. CoRR abs/2001.00593 (2020)
2010 – 2019
- 2019
- [i2]Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel:
Photonic architecture for reinforcement learning. CoRR abs/1907.07503 (2019) - [i1]Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko:
A framework for deep energy-based reinforcement learning with quantum speed-up. CoRR abs/1910.12760 (2019)
Coauthor Index
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