Sofiène Jerbi

According to our database, Sofiène Jerbi authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Ryan Sweke, Erik Recio-Armengol, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer

Quantum, 2025

2024

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning.

Francesco Preti, Michael Schilling, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Felix Motzoi, Hans J. Briegel

Quantum, 2024

A quantum-classical reinforcement learning model to play Atari games.

Dominik Freinberger, Julian Lemmel, Radu Grosu, Sofiène Jerbi

CoRR, 2024

An unconditional distribution learning advantage with shallow quantum circuits.

Niklas Pirnay, Sofiène Jerbi, Jean-Pierre Seifert, Jens Eisert

CoRR, 2024

2023

Variational measurement-based quantum computation for generative modeling.

Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel

CoRR, 2023

Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer

CoRR, 2023

Shadows of quantum machine learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.

Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes

CoRR, 2023

Quantum Policy Gradient Algorithms.

Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko

Proceedings of the 18th Conference on the Theory of Quantum Computation, 2023

2022

Operationally meaningful representations of physical systems in neural networks.

Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner

Mach. Learn. Sci. Technol., December, 2022

Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning.

Andrea Skolik, Sofiène Jerbi, Vedran Dunjko

Quantum, 2022

Reinforcement Learning Assisted Recursive QAOA.

Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko

CoRR, 2022

Near-optimal Quantum algorithms for multivariate mean estimation.

Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021

Quantum machine learning beyond kernel methods.

Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

CoRR, 2021

Variational quantum policies for reinforcement learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko

CoRR, 2021

Parametrized Quantum Policies for Reinforcement Learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

A framework for deep energy-based reinforcement learning with quantum speed-up.

Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko

CoRR, 2019

Photonic architecture for reinforcement learning.

Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel

CoRR, 2019