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Ryan Sweke
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 19
Top Topics
Expressive Power
Quantum Computation
Convex Combinations
Stochastic Gradient
Top Venues
CoRR
Quantum
Mach. Learn. Sci. Technol.
ITCS
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Publications
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Matthias C. Caro
,
Marcel Hinsche
,
Marios Ioannou
,
Alexander Nietner
,
Ryan Sweke
Classical Verification of Quantum Learning.
ITCS
(2024)
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)
Alexander Nietner
,
Marios Ioannou
,
Ryan Sweke
,
Richard Kueng
,
Jens Eisert
,
Marcel Hinsche
,
Jonas Haferkamp
On the average-case complexity of learning output distributions of quantum circuits.
CoRR
(2023)
Matthias C. Caro
,
Marcel Hinsche
,
Marios Ioannou
,
Alexander Nietner
,
Ryan Sweke
Classical Verification of Quantum Learning.
CoRR
(2023)
Frederik Wilde
,
Augustine Kshetrimayum
,
Ingo Roth
,
Dominik Hangleiter
,
Ryan Sweke
,
Jens Eisert
Scalably learning quantum many-body Hamiltonians from dynamical data.
CoRR
(2022)
Marcel Hinsche
,
Marios Ioannou
,
Alexander Nietner
,
Jonas Haferkamp
,
Yihui Quek
,
Dominik Hangleiter
,
Jean-Pierre Seifert
,
Jens Eisert
,
Ryan Sweke
A single T-gate makes distribution learning hard.
CoRR
(2022)
Niklas Pirnay
,
Ryan Sweke
,
Jens Eisert
,
Jean-Pierre Seifert
A super-polynomial quantum-classical separation for density modelling.
CoRR
(2022)
Matthias C. Caro
,
Elies Gil-Fuster
,
Johannes Jakob Meyer
,
Jens Eisert
,
Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits.
CoRR
(2021)
Matthias C. Caro
,
Elies Gil-Fuster
,
Johannes Jakob Meyer
,
Jens Eisert
,
Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits.
Quantum
5 (2021)
Ryan Sweke
,
Jean-Pierre Seifert
,
Dominik Hangleiter
,
Jens Eisert
On the Quantum versus Classical Learnability of Discrete Distributions.
Quantum
5 (2021)
Ryan Sweke
,
Markus S. Kesselring
,
Evert P. L. van Nieuwenburg
,
Jens Eisert
Reinforcement learning decoders for fault-tolerant quantum computation.
Mach. Learn. Sci. Technol.
2 (2) (2021)
Marcel Hinsche
,
Marios Ioannou
,
Alexander Nietner
,
Jonas Haferkamp
,
Yihui Quek
,
Dominik Hangleiter
,
Jean-Pierre Seifert
,
Jens Eisert
,
Ryan Sweke
Learnability of the output distributions of local quantum circuits.
CoRR
(2021)
Ryan Sweke
,
Jean-Pierre Seifert
,
Dominik Hangleiter
,
Jens Eisert
On the Quantum versus Classical Learnability of Discrete Distributions.
CoRR
(2020)
Alex Goeßmann
,
M. Götte
,
Ingo Roth
,
Ryan Sweke
,
Gitta Kutyniok
,
Jens Eisert
Tensor network approaches for learning non-linear dynamical laws.
CoRR
(2020)
Ryan Sweke
,
Frederik Wilde
,
Johannes Jakob Meyer
,
Maria Schuld
,
Paul K. Faehrmann
,
Barthélémy Meynard-Piganeau
,
Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization.
Quantum
4 (2020)
Ivan Glasser
,
Ryan Sweke
,
Nicola Pancotti
,
Jens Eisert
,
J. Ignacio Cirac
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning.
CoRR
(2019)
Ivan Glasser
,
Ryan Sweke
,
Nicola Pancotti
,
Jens Eisert
,
J. Ignacio Cirac
Expressive power of tensor-network factorizations for probabilistic modeling.
NeurIPS
(2019)
Ryan Sweke
,
Frederik Wilde
,
Johannes Jakob Meyer
,
Maria Schuld
,
Paul K. Faehrmann
,
Barthélémy Meynard-Piganeau
,
Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization.
CoRR
(2019)
Ryan Sweke
,
Markus S. Kesselring
,
Evert P. L. van Nieuwenburg
,
Jens Eisert
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation.
CoRR
(2018)