Sofiène Jerbi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Quantum Computation

Reinforcement Learning

Policy Gradient

Top Venues

Mach. Learn. Sci. Technol.

Publications

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 (2023)
Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel
Variational measurement-based quantum computation for generative modeling. CoRR (2023)
Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
Quantum Policy Gradient Algorithms. TQC (2023)
Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
Shadows of quantum machine learning. CoRR (2023)
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 (2023)
Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko
Reinforcement Learning Assisted Recursive QAOA. CoRR (2022)
Andrea Skolik, Sofiène Jerbi, Vedran Dunjko
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning. Quantum 6 (2022)
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) (2022)
Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi
Near-optimal Quantum algorithms for multivariate mean estimation. STOC (2022)
Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
Quantum policy gradient algorithms. CoRR (2022)
Sofiène Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko
Variational quantum policies for reinforcement learning. CoRR (2021)
Sofiène Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko
Parametrized Quantum Policies for Reinforcement Learning. NeurIPS (2021)
Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
Quantum machine learning beyond kernel methods. CoRR (2021)
Arjan Cornelissen, Yassine Hamoudi, Sofiène Jerbi
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation. CoRR (2021)
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 (2020)
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 (2019)
Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel
Photonic architecture for reinforcement learning. CoRR (2019)