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Louis Schatzki
Louis Schatzki
Electrical and Computer Engineering, University of Illinois
Verified email at illinois.edu
Title
Cited by
Cited by
Year
Representation theory for geometric quantum machine learning
M Ragone, P Braccia, QT Nguyen, L Schatzki, PJ Coles, F Sauvage, ...
arXiv preprint arXiv:2210.07980, 2022
712022
Theory for equivariant quantum neural networks
QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ...
PRX Quantum 5 (2), 020328, 2024
692024
Entangled datasets for quantum machine learning
L Schatzki, A Arrasmith, PJ Coles, M Cerezo
arXiv preprint arXiv:2109.03400, 2021
542021
Theoretical guarantees for permutation-equivariant quantum neural networks
L Schatzki, M Larocca, QT Nguyen, F Sauvage, M Cerezo
npj Quantum Information 10 (1), 12, 2024
522024
Theoretical guarantees for permutation-equivariant quantum neural networks (2022)
L Schatzki, M Larocca, QT Nguyen, F Sauvage, M Cerezo
arXiv preprint arXiv:2210.09974, 0
10
On the role of entanglement and statistics in learning
S Arunachalam, V Havlicek, L Schatzki
Advances in Neural Information Processing Systems 36, 2024
72024
Simulation of a hydrogen atom in a laser field using the time-dependent variational principle
K Rowan, L Schatzki, T Zaklama, Y Suzuki, K Watanabe, K Varga
Physical Review E 101 (2), 023313, 2020
72020
Hierarchy of multipartite correlations based on concentratable entanglement
L Schatzki, G Liu, M Cerezo, E Chitambar
Physical Review Research 6 (2), 023019, 2024
52024
Matrix elements of one dimensional explicitly correlated Gaussian basis functions
T Zaklama, D Zhang, K Rowan, L Schatzki, Y Suzuki, K Varga
Few-body systems 61, 1-15, 2020
52020
Tensor Rank and Other Multipartite Entanglement Measures of Graph States
L Schatzki, L Ma, E Solomonik, E Chitambar
arXiv preprint arXiv:2209.06320, 2022
22022
On the Role of Entanglement and Statistics in Learning
A Srinivasan, V Havlíček, L Schatzki
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
On the role of entanglement and statistics in learning (Supplementary material)
S Arunachalam, V Havlícek, L Schatzki
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Articles 1–12