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 | 77 | 2022 |
Theory for equivariant quantum neural networks QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ... PRX Quantum 5 (2), 020328, 2024 | 74 | 2024 |
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 | 64* | 2024 |
Entangled datasets for quantum machine learning L Schatzki, A Arrasmith, PJ Coles, M Cerezo arXiv preprint arXiv:2109.03400, 2021 | 55 | 2021 |
Hierarchy of multipartite correlations based on concentratable entanglement L Schatzki, G Liu, M Cerezo, E Chitambar Physical Review Research 6 (2), 023019, 2024 | 7 | 2024 |
On the role of entanglement and statistics in learning S Arunachalam, V Havlicek, L Schatzki Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
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 | 7 | 2020 |
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 | 5 | 2020 |
Tensor Rank and Other Multipartite Entanglement Measures of Graph States L Schatzki, L Ma, E Solomonik, E Chitambar arXiv preprint arXiv:2209.06320, 2022 | 2 | 2022 |