Abid Khan

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Bryan ClarkAssociate Professor, University of Illinois at Urbana ChampaignVerifierad e-postadress på illinois.edu
Chia-Hao LeeCornell UniversityVerifierad e-postadress på cornell.edu
Pinshane Y. HuangAssociate Professor of Materials Science, University of IllinoisVerifierad e-postadress på illinois.edu
Di LuoMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Norman TubmanNASA AmesVerifierad e-postadress på u.northwestern.edu
Thomas IadecolaAssociate Professor, Iowa State University; Scientist, Ames National LaboratoryVerifierad e-postadress på iastate.edu
Milton RuizUniversity of Illinois at Urbana-ChampaignVerifierad e-postadress på illinois.edu
Vasileios PaschalidisUniversity of Arizona, TucsonVerifierad e-postadress på email.arizona.edu
Erik GustafsonAssociate Scientist, USRAVerifierad e-postadress på usra.edu
M. Sohaib AlamNASA/USRA Quantum AI Lab, NASA Ames Research CenterVerifierad e-postadress på nasa.gov

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Abid Khan

JPMorgan Chase & Co.

Verifierad e-postadress på jpmchase.com

Machine Learning Quantum Information Tensor Networks Computational Physics Mathematical Physics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Deep learning enabled strain mapping of single-atom defects in two-dimensional transition metal dichalcogenides with sub-picometer precision CH Lee, A Khan, D Luo, TP Santos, C Shi, BE Janicek, S Kang, W Zhu, ... Nano letters 20 (5), 3369-3377, 2020	119	2020
Disks around merging binary black holes: from GW150914 to supermassive black holes A Khan, V Paschalidis, M Ruiz, SL Shapiro Physical Review D 97 (4), 044036, 2018	46	2018
Constant-depth preparation of matrix product states with adaptive quantum circuits KC Smith, A Khan, BK Clark, SM Girvin, TC Wei arXiv preprint arXiv:2404.16083, 2024	29	2024
Preparing quantum many-body scar states on quantum computers EJ Gustafson, ACY Li, A Khan, J Kim, DM Kurkcuoglu, MS Alam, PP Orth, ... Quantum 7, 1171, 2023	25	2023
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images A Khan, CH Lee, PY Huang, BK Clark npj Computational Materials 9 (1), 85, 2023	24*	2023
Pre-optimizing variational quantum eigensolvers with tensor networks A Khan, BK Clark, NM Tubman arXiv preprint arXiv:2310.12965, 2023	12	2023
Ground states of strongly-correlated materials on quantum computers using ab initio downfolding AM Alvertis, A Khan, NM Tubman arXiv preprint arXiv:2409.12237, 2024	1	2024
Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model AM Alvertis, A Khan, T Iadecola, PP Orth, N Tubman arXiv preprint arXiv:2408.00836, 2024	1	2024
Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning A Khan, P Vaish, Y Pang, N Kowshik, MS Chen, CH Batton, GM Rotskoff, ... arXiv preprint arXiv:2406.08554, 2024	1	2024
Integrating classical and quantum algorithms with machine learning and tensor networks A Khan University of Illinois at Urbana-Champaign, 2024		2024
Segmentation of dense and multi-species bacterial colonies achieved using models trained on synthetic microscopy images V Hickl, A Khan, RM Rossi, K Maniura-Weber, BFB Silva arXiv preprint arXiv:2405.12407, 2024		2024

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