Ryan Sweke

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	すべて	2020 年以来
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Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center Berlin確認したメールアドレス: physik.fu-berlin.de
Johannes Jakob MeyerGraduate Student, Dahlem Center for Complex Quantum Systems, FU Berlin確認したメールアドレス: fu-berlin.de
Francesco PetruccioneStellenbosch University and National Institute for Theoretical and Computational Sciences (NITheCS)確認したメールアドレス: sun.ac.za
Ilya SinayskiyQuantum Research Group, School of Chemistry and Physics, UKZN, (WST)確認したメールアドレス: ukzn.ac.za
Maria SchuldQuantum Machine Learning research lead at Xanadu確認したメールアドレス: xanadu.ai
Frederik WildeFreie Universität Berlin確認したメールアドレス: fu-berlin.de
Jean-Pierre SeifertEinstein Professor for Computer & Communication Security, TU Berlin & T-Labs確認したメールアドレス: tu-berlin.de
Dominik HangleiterSimons Institute for the Theory of Computing, UC Berkeley確認したメールアドレス: berkeley.edu
Marcel HinschePhD student, Freie Universität Berlin確認したメールアドレス: fu-berlin.de
Alexander NietnerFreie Universität Berlin確認したメールアドレス: fu-berlin.de
Marios IoannouPhD, Freihe Universität Berlin確認したメールアドレス: fu-berlin.de
Paul K. FaehrmannGraduate Student at Freie Universität Berlin確認したメールアドレス: fu-berlin.de
Barthelemy Meynard-PiganeauSorbonne University確認したメールアドレス: polytechnique.edu
Matthias C. CaroAssistant Professor, University of Warwick確認したメールアドレス: warwick.ac.uk
Jonas HaferkampHarvard University確認したメールアドレス: seas.harvard.edu
Nicola PancottiQuantum Research Scientist at AWS & California Institute of Technology確認したメールアドレス: amazon.com
ignacio ciracMax Planck Institute of Quantum Optics確認したメールアドレス: mpq.mpg.de
Elies Gil-Fustergraduate student, Freie University Berlin確認したメールアドレス: zedat.fu-berlin.de
Yihui QuekMassachusetts Institute of Technology確認したメールアドレス: mit.edu
Ingo RothQuantum research center, Technology Innovation Institute, Abu Dhabi, UAE確認したメールアドレス: fu-berlin.de

フォロー

Ryan Sweke

German Research Chair at African Institute of Mathematical Sciences (AIMS)

確認したメールアドレス: aims.ac.za - ホームページ

Quantum Information Quantum Computing TCS


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Effect of data encoding on the expressive power of variational quantum-machine-learning models M Schuld, R Sweke, JJ Meyer Physical Review A 103 (3), 032430, 2021	672	2021
Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... Quantum 4, 314, 2020	286	2020
Expressive power of tensor-network factorizations for probabilistic modeling I Glasser, R Sweke, N Pancotti, J Eisert, I Cirac Advances in Neural Information Processing Systems, 1496-1508, 2019	144	2019
Reinforcement learning decoders for fault-tolerant quantum computation R Sweke, MS Kesselring, EPL van Nieuwenburg, J Eisert Machine Learning: Science and Technology 2 (2), 025005, 2020	133	2020
On the quantum versus classical learnability of discrete distributions R Sweke, JP Seifert, D Hangleiter, J Eisert Quantum 5, 417, 2021	118	2021
Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021	114	2021
Universal simulation of Markovian open quantum systems R Sweke, I Sinayskiy, D Bernard, F Petruccione Physical Review A 91 (6), 062308, 2015	76	2015
Digital quantum simulation of many-body non-Markovian dynamics R Sweke, M Sanz, I Sinayskiy, F Petruccione, E Solano Physical Review A 94 (2), 022317, 2016	65	2016
Dissipative preparation of large states in optical cavities R Sweke, I Sinayskiy, F Petruccione Physical Review A—Atomic, Molecular, and Optical Physics 87 (4), 042323, 2013	48	2013
Simulation of single-qubit open quantum systems R Sweke, I Sinayskiy, F Petruccione Physical Review A 90 (2), 022331, 2014	42	2014
One Gate Makes Distribution Learning Hard M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ... Physical Review Letters 130 (24), 240602, 2023	38	2023
Tensor network approaches for learning non-linear dynamical laws A Goeßmann, M Götte, I Roth, R Sweke, G Kutyniok, J Eisert First Workshop on Quantum Tensor Networks in Machine Learning, 34th …, 2020	29*	2020
Lieb-Robinson bounds for open quantum systems with long-ranged interactions R Sweke, J Eisert, M Kastner Journal of Physics A: Mathematical and Theoretical 52 (42), 2019	29	2019
Superpolynomial quantum-classical separation for density modeling N Pirnay, R Sweke, J Eisert, JP Seifert Physical Review A 107 (4), 042416, 2023	26	2023
Scalably learning quantum many-body Hamiltonians from dynamical data F Wilde, A Kshetrimayum, I Roth, D Hangleiter, R Sweke, J Eisert arXiv preprint arXiv:2209.14328, 2022	25	2022
Learnability of the output distributions of local quantum circuits M Hinsche, M Ioannou, A Nietner, J Haferkamp, Y Quek, D Hangleiter, ... arXiv preprint arXiv:2110.05517, 2021	20	2021
On the average-case complexity of learning output distributions of quantum circuits A Nietner, M Ioannou, R Sweke, R Kueng, J Eisert, M Hinsche, ... arXiv preprint arXiv:2305.05765, 2023	17	2023
Potential and limitations of random fourier features for dequantizing quantum machine learning R Sweke, E Recio, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, JJ Meyer arXiv preprint arXiv:2309.11647, 2023	16	2023
Dissipative preparation of generalized Bell states R Sweke, I Sinayskiy, F Petruccione Journal of Physics B: Atomic, Molecular and Optical Physics 46 (10), 104004, 2013	14	2013
Classical verification of quantum learning MC Caro, M Hinsche, M Ioannou, A Nietner, R Sweke arXiv preprint arXiv:2306.04843, 2023	12	2023

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