Noise-induced barren plateaus in variational quantum algorithms S Wang, E Fontana, M Cerezo, K Sharma, A Sone, L Cincio, PJ Coles Nature Communications 12 (1), 1-11, 2021 | 621 | 2021 |
Absence of barren plateaus in quantum convolutional neural networks A Pesah, M Cerezo, S Wang, T Volkoff, AT Sornborger, PJ Coles Physical Review X 11 (4), 041011, 2021 | 302 | 2021 |
Exponential concentration in quantum kernel methods S Thanasilp, S Wang, M Cerezo, Z Holmes Nature communications 15 (1), 5200, 2024 | 73* | 2024 |
Can error mitigation improve trainability of noisy variational quantum algorithms? S Wang, P Czarnik, A Arrasmith, M Cerezo, L Cincio, PJ Coles Quantum 8, 1287, 2024 | 70* | 2024 |
Quantum algorithms: A survey of applications and end-to-end complexities AM Dalzell, S McArdle, M Berta, P Bienias, CF Chen, A Gilyén, CT Hann, ... arXiv preprint arXiv:2310.03011, 2023 | 62 | 2023 |
Subtleties in the trainability of quantum machine learning models S Thanasilp, S Wang, NA Nghiem, P Coles, M Cerezo Quantum Machine Intelligence 5 (1), 21, 2023 | 53 | 2023 |
The battle of clean and dirty qubits in the era of partial error correction D Bultrini, S Wang, P Czarnik, MH Gordon, M Cerezo, PJ Coles, L Cincio Quantum 7, 1060, 2023 | 12 | 2023 |
Qubit-efficient randomized quantum algorithms for linear algebra S Wang, S McArdle, M Berta PRX Quantum 5 (2), 020324, 2024 | 9 | 2024 |
A Review of Barren Plateaus in Variational Quantum Computing M Larocca, S Thanasilp, S Wang, K Sharma, J Biamonte, PJ Coles, ... arXiv preprint arXiv:2405.00781, 2024 | 7 | 2024 |
A framework of partial error correction for intermediate-scale quantum computers N Koukoulekidis, S Wang, T O'Leary, D Bultrini, L Cincio, P Czarnik arXiv preprint arXiv:2306.15531, 2023 | 3 | 2023 |