www.lubasch.ch
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1. Michael LUBASCH | Max Planck Institute of Quantum Optics, …
Link: https://www.researchgate.net/profile/Michael-Lubasch
Description: WebMichael LUBASCH | Max Planck Institute of Quantum Optics, Garching bei München | MPQ | Division of Theory | Research profile. About. 35. Publications. 4,188. Reads. 1,047. Citations....
DA: 92 PA: 3 MOZ Rank: 16
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2. Michael Lubasch - Google Scholar
Link: https://scholar.google.com.sg/citations?user=SRiZeUgAAAAJ&hl=en
Description: Web2022. Adiabatic preparation of a Heisenberg antiferromagnet using an optical superlattice. M Lubasch, V Murg, U Schneider, JI Cirac, MC Banuls. Physical review letters 107 (16), 165301. , 2011. 91. 2011. A quantum-inspired approach to exploit turbulence structures.
DA: 19 PA: 100 MOZ Rank: 20
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3. [1907.09032] Variational quantum algorithms for nonlinear problems
Link: https://arxiv.org/abs/1907.09032
Description: WebJul 21, 2019 · Variational quantum algorithms for nonlinear problems. Michael Lubasch, Jaewoo Joo, Pierre Moinier, Martin Kiffner, Dieter Jaksch. We show that nonlinear problems including nonlinear partial differential equations can be efficiently solved by variational quantum computing.
DA: 85 PA: 79 MOZ Rank: 54
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4. Lisa Lubasch - Wikipedia
Link: https://en.m.wikipedia.org/wiki/Lisa_Lubasch
Description: WebLubasch received her BA in English from Yale University, an MA in writing from Johns Hopkins University, and an MFA in Poetry from the Iowa Writers’ Workshop. She is the author of five collections of poetry, including So I Began, Twenty-One After Days, To Tell the Lamp, and How Many More of Them Are You? which received the Norma Farber First ...
DA: 70 PA: 24 MOZ Rank: 27
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5. Variational quantum algorithms for nonlinear problems
Link: https://link.aps.org/doi/10.1103/PhysRevA.101.010301
Description: WebMichael Lubasch, Jaewoo Joo, Pierre Moinier, Martin Kiffner, and Dieter Jaksch. Phys. Rev. A 101, 010301 (R) – Published 6 January 2020. More. PDF HTML Export Citation. Abstract. We show that nonlinear problems including nonlinear partial differential equations can be efficiently solved by variational quantum computing.
DA: 76 PA: 51 MOZ Rank: 25
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6. [2311.01531] Quantum Variational Solving of Nonlinear and Multi
Link: https://arxiv.org/abs/2311.01531
Description: WebNov 2, 2023 · Abstract: A variational quantum algorithm for numerically solving partial differential equations (PDEs) on a quantum computer was proposed by Lubasch et al. In this paper, we generalize the method introduced by Lubasch et al. to cover a broader class of nonlinear PDEs as well as multidimensional PDEs, and study the performance of the ...
DA: 59 PA: 21 MOZ Rank: 74
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7. [2106.10055] Filtering variational quantum algorithms for combinatorial …
Link: https://arxiv.org/abs/2106.10055
Description: WebJun 18, 2021 · Filtering variational quantum algorithms for combinatorial optimization. David Amaro, Carlo Modica, Matthias Rosenkranz, Mattia Fiorentini, Marcello Benedetti, Michael Lubasch. Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently.
DA: 68 PA: 41 MOZ Rank: 84
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8. Quantum Algorithms for Nonlinear Equations in Fluid Mechanics
Link: https://www.intechopen.com/chapters/74384
Description: WebDec 10, 2020 · Open access peer-reviewed chapter. Quantum Algorithms for Nonlinear Equations in Fluid Mechanics. Written By. Rene Steijl. Reviewed: 13 November 2020 Published: 10 December 2020. DOI: 10.5772/intechopen.95023. IntechOpen. From the Edited Volume. Quantum Computing and Communications. Edited by Yongli Zhao. Book Details Order Print.
DA: 10 PA: 85 MOZ Rank: 40
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9. M. Lubasch | Semantic Scholar
Link: https://www.semanticscholar.org/author/M.-Lubasch/3538117
Description: WebMay 13, 2014 · We analyze the barren plateau phenomenon in the variational optimization of quantum circuits inspired by matrix product states (qMPS), tree tensor networks (qTTN), and the multiscale entanglement…. ... ... Semantic Scholar profile for M. Lubasch, with 30 highly influential citations and 34 scientific research papers.
DA: 90 PA: 22 MOZ Rank: 99
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10. Variational quantum algorithms for nonlinear problems - Semantic …
Link: https://www.semanticscholar.org/paper/Variational-quantum-algorithms-for-nonlinear-Lubasch-Joo/d28981ca20c753010a0d3fd53f056826fecc5ac1
Description: WebM. Lubasch, J. Joo, +2 authors. D. Jaksch. Published in Physical Review A 21 July 2019. Physics. Physical Review A. TLDR. It is numerically show that the variational quantum ansatz can be exponentially more efficient than matrix product states and present experimental proof-of-principle results obtained on an IBM Q device. Expand.
DA: 52 PA: 11 MOZ Rank: 1