Ryan Sweke

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	Vse	Od leta 2020
Navedbe	1953	1823
indeks h	17	17
indeks i10	20	19

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Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center BerlinPreverjeni e-poštni naslov na physik.fu-berlin.de
Johannes Jakob MeyerGraduate Student, Dahlem Center for Complex Quantum Systems, FU BerlinPreverjeni e-poštni naslov na fu-berlin.de
Francesco PetruccioneStellenbosch University and National Institute for Theoretical and Computational Sciences (NITheCS)Preverjeni e-poštni naslov na sun.ac.za
Ilya SinayskiyQuantum Research Group, School of Chemistry and Physics, UKZN, (WST)Preverjeni e-poštni naslov na ukzn.ac.za
Maria SchuldQuantum Machine Learning research lead at XanaduPreverjeni e-poštni naslov na xanadu.ai
Frederik WildeFreie Universität BerlinPreverjeni e-poštni naslov na fu-berlin.de
Jean-Pierre SeifertEinstein Professor for Computer & Communication Security, TU Berlin & T-LabsPreverjeni e-poštni naslov na tu-berlin.de
Dominik HangleiterSimons Institute for the Theory of Computing, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Marcel HinschePhD student, Freie Universität BerlinPreverjeni e-poštni naslov na fu-berlin.de
Alexander NietnerFreie Universität BerlinPreverjeni e-poštni naslov na fu-berlin.de
Marios IoannouPhD, Freihe Universität BerlinPreverjeni e-poštni naslov na fu-berlin.de
Paul K. FaehrmannGraduate Student at Freie Universität BerlinPreverjeni e-poštni naslov na fu-berlin.de
Barthelemy Meynard-PiganeauSorbonne UniversityPreverjeni e-poštni naslov na polytechnique.edu
Matthias C. CaroAssistant Professor, University of WarwickPreverjeni e-poštni naslov na warwick.ac.uk
Nicola PancottiSenior Research Scientist @ NVIDIAPreverjeni e-poštni naslov na nvidia.com
ignacio ciracMax Planck Institute of Quantum OpticsPreverjeni e-poštni naslov na mpq.mpg.de
Elies Gil-Fustergraduate student, Freie University BerlinPreverjeni e-poštni naslov na zedat.fu-berlin.de
Jonas HaferkampHarvard UniversityPreverjeni e-poštni naslov na seas.harvard.edu
Ingo RothQuantum research center, Technology Innovation Institute, Abu Dhabi, UAEPreverjeni e-poštni naslov na fu-berlin.de
Denis BERNARDDirecteur de recherche - CNRS & LPENSPreverjeni e-poštni naslov na ens.fr

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Ryan Sweke

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

Preverjeni e-poštni naslov na aims.ac.za - Domača stran

Quantum Information Quantum Computing TCS


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	149	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
Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021	120	2021
On the quantum versus classical learnability of discrete distributions R Sweke, JP Seifert, D Hangleiter, J Eisert Quantum 5, 417, 2021	113	2021
Universal simulation of Markovian open quantum systems R Sweke, I Sinayskiy, D Bernard, F Petruccione Physical Review A 91 (6), 062308, 2015	79	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	62	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	49	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	41	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	28	2019
Superpolynomial quantum-classical separation for density modeling N Pirnay, R Sweke, J Eisert, JP Seifert Physical Review A 107 (4), 042416, 2023	25	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	24	2022
Potential and limitations of random fourier features for dequantizing quantum machine learning R Sweke, E Recio-Armengol, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, ... Quantum 9, 1640, 2025	22	2025
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	18	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
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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