Ryan Sweke - RankMe

23 papers A* 1A 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. Quantum Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
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
2025	J	`jnl`	Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models. CoRR David Layden, Ryan Sweke, Vojtech Havlícek, Anirban Chowdhury, Kirill Neklyudov
2024	A	`conf`	Classical Verification of Quantum Learning. ITCS Matthias C. Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
2024	J	`jnl`	Interactive proofs for verifying (quantum) learning and testing. CoRR Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
2023	J	`jnl`	Classical Verification of Quantum Learning. CoRR Matthias C. Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
2023	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. CoRR Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
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
2022	J	`jnl`	A single T-gate makes distribution learning hard. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2022	J	`jnl`	A super-polynomial quantum-classical separation for density modelling. CoRR Niklas Pirnay, Ryan Sweke, Jens Eisert, Jean-Pierre Seifert
2022	J	`jnl`	Scalably learning quantum many-body Hamiltonians from dynamical data. CoRR Frederik Wilde, Augustine Kshetrimayum, Ingo Roth, Dominik Hangleiter, Ryan Sweke, Jens Eisert
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Learnability of the output distributions of local quantum circuits. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2021	J	`jnl`	On the Quantum versus Classical Learnability of Discrete Distributions. Quantum Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
2021	J	`jnl`	Reinforcement learning decoders for fault-tolerant quantum computation. Mach. Learn. Sci. Technol. Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert
2020	J	`jnl`	On the Quantum versus Classical Learnability of Discrete Distributions. CoRR Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
2020	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. Quantum Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2020	J	`jnl`	Tensor network approaches for learning non-linear dynamical laws. CoRR Alex Goeßmann, Michael Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
2019	J	`jnl`	Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. CoRR Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
2019	A*	`conf`	Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
2019	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. CoRR Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2018	J	`jnl`	Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation. CoRR Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert