Exploiting symmetry in variational quantum machine learning JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani, A Wilms, J Eisert PRX Quantum 4 (1), 010328, 2023 | 137 | 2023 |
Avoiding barren plateaus via transferability of smooth solutions in a Hamiltonian variational ansatz AA Mele, GB Mbeng, GE Santoro, M Collura, P Torta Physical Review A 106 (6), L060401, 2022 | 54 | 2022 |
Introduction to Haar Measure Tools in Quantum Information: A Beginner's Tutorial AA Mele Quantum 8, 1340, 2024 | 34 | 2024 |
Stochastic noise can be helpful for variational quantum algorithms J Liu, F Wilde, AA Mele, L Jiang, J Eisert arXiv preprint arXiv:2210.06723, 2022 | 32 | 2022 |
Noise-induced shallow circuits and absence of barren plateaus AA Mele, A Angrisani, S Ghosh, S Khatri, J Eisert, DS França, Y Quek arXiv preprint arXiv:2403.13927, 2024 | 6 | 2024 |
Learning fermionic correlations by evolving with random translationally invariant Hamiltonians J Denzler, AA Mele, E Derbyshire, T Guaita, J Eisert arXiv preprint arXiv:2309.12933, 2023 | 4 | 2023 |
Learning quantum states of continuous variable systems FA Mele, AA Mele, L Bittel, J Eisert, V Giovannetti, L Lami, L Leone, ... arXiv preprint arXiv:2405.01431, 2024 | 2 | 2024 |
Efficient learning of quantum states prepared with few fermionic non-Gaussian gates AA Mele, Y Herasymenko arXiv preprint arXiv:2402.18665, 2024 | 2 | 2024 |
PAC-learning of free-fermionic states is NP-hard L Bittel, AA Mele, J Eisert, L Leone arXiv preprint arXiv:2404.03585, 2024 | | 2024 |