Sofiène Jerbi

23 papers A* 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The computational two-way quantum capacity. CoRR Johannes Jakob Meyer, Jacopo Rizzo, Asad Raza, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	Computational Relative Entropy. CoRR Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. Quantum Ryan Sweke, Erik Recio-Armengol, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2024	J	`jnl`	A quantum-classical reinforcement learning model to play Atari games. CoRR Dominik Freinberger, Julian Lemmel, Radu Grosu, Sofiène Jerbi
2024	J	`jnl`	An unconditional distribution learning advantage with shallow quantum circuits. CoRR Niklas Pirnay, Sofiène Jerbi, Jean-Pierre Seifert, Jens Eisert
2024	J	`jnl`	Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning. Quantum Francesco Preti, Michael Schilling, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Felix Motzoi, Hans J. Briegel
2023	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2023	—	`conf`	Quantum Policy Gradient Algorithms. TQC Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
2023	J	`jnl`	Shadows of quantum machine learning. CoRR Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
2023	J	`jnl`	The power and limitations of learning quantum dynamics incoherently. CoRR Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes
2023	J	`jnl`	Variational measurement-based quantum computation for generative modeling. CoRR Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel
2022	A*	`conf`	Near-optimal Quantum algorithms for multivariate mean estimation. STOC Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi
2022	J	`jnl`	Operationally meaningful representations of physical systems in neural networks. Mach. Learn. Sci. Technol. Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
2022	J	`jnl`	Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning. Quantum Andrea Skolik, Sofiène Jerbi, Vedran Dunjko
2022	J	`jnl`	Quantum policy gradient algorithms. CoRR Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
2022	J	`jnl`	Reinforcement Learning Assisted Recursive QAOA. CoRR Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko
2021	J	`jnl`	Near-Optimal Quantum Algorithms for Multivariate Mean Estimation. CoRR Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi
2021	A*	`conf`	Parametrized Quantum Policies for Reinforcement Learning. NeurIPS Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2021	J	`jnl`	Quantum machine learning beyond kernel methods. CoRR Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
2021	J	`jnl`	Variational quantum policies for reinforcement learning. CoRR Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2020	J	`jnl`	Operationally meaningful representations of physical systems in neural networks. CoRR Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
2019	J	`jnl`	A framework for deep energy-based reinforcement learning with quantum speed-up. CoRR Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko
2019	J	`jnl`	Photonic architecture for reinforcement learning. CoRR Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel