Ryan Sweke

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Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center BerlinVerified email at physik.fu-berlin.de
Johannes Jakob MeyerGraduate Student, Dahlem Center for Complex Quantum Systems, FU BerlinVerified email at fu-berlin.de
Francesco PetruccioneStellenbosch University and National Institute for Theoretical and Computational Sciences (NITheCS)Verified email at sun.ac.za
Ilya SinayskiyQuantum Research Group, School of Chemistry and Physics, UKZN, (WST)Verified email at ukzn.ac.za
Maria SchuldQuantum Machine Learning research lead at XanaduVerified email at xanadu.ai
Frederik WildeFreie Universität BerlinVerified email at fu-berlin.de
Dominik HangleiterQuICS, University of MarylandVerified email at umd.edu
Jean-Pierre SeifertProfessor for Computer & Communication Security, TU Berlin & T-LabsVerified email at tu-berlin.de
Marcel HinschePhD student, Freie Universität BerlinVerified email at fu-berlin.de
Alexander NietnerFreie Universität BerlinVerified email at fu-berlin.de
Marios IoannouPhD, Freihe Universität BerlinVerified email at fu-berlin.de
Paul K. FaehrmannGraduate Student at Freie Universität BerlinVerified email at fu-berlin.de
Barthelemy Meynard-PiganeauSorbonne UniversityVerified email at polytechnique.edu
Jonas HaferkampHarvard UniversityVerified email at seas.harvard.edu
Nicola PancottiQuantum Research Scientist at AWS & California Institute of TechnologyVerified email at amazon.com
ignacio ciracMax Planck Institute of Quantum OpticsVerified email at mpq.mpg.de
Elies Gil-Fustergraduate student, Freie University BerlinVerified email at zedat.fu-berlin.de
Matthias C. CaroAssistant Professor, University of WarwickVerified email at warwick.ac.uk
Yihui QuekMassachusetts Institute of TechnologyVerified email at mit.edu
Ingo RothQuantum research center, Technology Innovation Institute, Abu Dhabi, UAEVerified email at fu-berlin.de

Ryan Sweke

Research Scientist at IBM

Verified email at ibm.com

Quantum Information Quantum Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	573	2021
Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... Quantum 4, 314, 2020	265	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	136	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	120	2020
Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021	107	2021
On the quantum versus classical learnability of discrete distributions R Sweke, JP Seifert, D Hangleiter, J Eisert Quantum 5, 417, 2021	106	2021
Universal simulation of Markovian open quantum systems R Sweke, I Sinayskiy, D Bernard, F Petruccione Physical Review A 91 (6), 062308, 2015	73	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	46	2013
Simulation of single-qubit open quantum systems R Sweke, I Sinayskiy, F Petruccione Physical Review A 90 (2), 022331, 2014	42	2014
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
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	28	2023
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	28	2019
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	21	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
Superpolynomial quantum-classical separation for density modeling N Pirnay, R Sweke, J Eisert, JP Seifert Physical Review A 107 (4), 042416, 2023	19	2023
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	15	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
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	11	2023
Transparent reporting of research-related greenhouse gas emissions through the scientific CO₂nduct initiative R Sweke, P Boes, N Ng, C Sparaciari, J Eisert, M Goihl Communications Physics 5 (1), 150, 2022	10	2022

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