| Variational quantum algorithms M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ... Nature Reviews Physics 3 (9), 625-644, 2021 | 2500 | 2021 |
| Effect of barren plateaus on gradient-free optimization A Arrasmith, M Cerezo, P Czarnik, L Cincio, PJ Coles Quantum 5, 558, 2021 | 240 | 2021 |
| Error mitigation with Clifford quantum-circuit data P Czarnik, A Arrasmith, PJ Coles, L Cincio Quantum 5, 592, 2021 | 234 | 2021 |
| An adaptive optimizer for measurement-frugal variational algorithms JM Kübler, A Arrasmith, L Cincio, PJ Coles Quantum 4, 263, 2020 | 160 | 2020 |
| Barren plateaus preclude learning scramblers Z Holmes, A Arrasmith, B Yan, PJ Coles, A Albrecht, AT Sornborger Physical Review Letters 126 (19), 190501, 2021 | 134 | 2021 |
| Equivalence of quantum barren plateaus to cost concentration and narrow gorges A Arrasmith, Z Holmes, M Cerezo, PJ Coles Quantum Science and Technology 7 (4), 045015, 2022 | 130 | 2022 |
| Variational quantum state eigensolver M Cerezo, K Sharma, A Arrasmith, PJ Coles npj Quantum Information 8 (1), 113, 2022 | 122 | 2022 |
| Operator sampling for shot-frugal optimization in variational algorithms A Arrasmith, L Cincio, RD Somma, PJ Coles arXiv preprint arXiv:2004.06252, 2020 | 105 | 2020 |
| Unified approach to data-driven quantum error mitigation A Lowe, MH Gordon, P Czarnik, A Arrasmith, PJ Coles, L Cincio Physical Review Research 3 (3), 033098, 2021 | 99 | 2021 |
| Variational consistent histories as a hybrid algorithm for quantum foundations A Arrasmith, L Cincio, AT Sornborger, WH Zurek, PJ Coles Nature communications 10 (1), 3438, 2019 | 83 | 2019 |
| Correlation-informed permutation of qubits for reducing ansatz depth in the variational quantum eigensolver NV Tkachenko, J Sud, Y Zhang, S Tretiak, PM Anisimov, AT Arrasmith, ... PRX Quantum 2 (2), 020337, 2021 | 72 | 2021 |
| 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 | 69 | 2024 |
| Entangled datasets for quantum machine learning L Schatzki, A Arrasmith, PJ Coles, M Cerezo arXiv preprint arXiv:2109.03400, 2021 | 61 | 2021 |
| Long-time simulations with high fidelity on quantum hardware J Gibbs, K Gili, Z Holmes, B Commeau, A Arrasmith, L Cincio, PJ Coles, ... arXiv preprint arXiv:2102.04313, 2021 | 57 | 2021 |
| Unifying and benchmarking state-of-the-art quantum error mitigation techniques D Bultrini, MH Gordon, P Czarnik, A Arrasmith, M Cerezo, PJ Coles, ... Quantum 7, 1034, 2023 | 40 | 2023 |
| Qubit-efficient exponential suppression of errors P Czarnik, A Arrasmith, L Cincio, PJ Coles arXiv preprint arXiv:2102.06056, 2021 | 34 | 2021 |
| Non-trivial symmetries in quantum landscapes and their resilience to quantum noise E Fontana, M Cerezo, A Arrasmith, I Rungger, PJ Coles Quantum 6, 804, 2022 | 26 | 2022 |
| Adaptive shot allocation for fast convergence in variational quantum algorithms A Gu, A Lowe, PA Dub, PJ Coles, A Arrasmith arXiv preprint arXiv:2108.10434, 2021 | 24 | 2021 |
| Optimizing parametrized quantum circuits via noise-induced breaking of symmetries E Fontana, M Cerezo, A Arrasmith, I Rungger, PJ Coles arXiv preprint arXiv:2011.08763 55, 2020 | 20 | 2020 |
| Long-time simulations for fixed input states on quantum hardware J Gibbs, K Gili, Z Holmes, B Commeau, A Arrasmith, L Cincio, PJ Coles, ... npj Quantum Information 8 (1), 135, 2022 | 17 | 2022 |
Patrick ColesNormal Computing在 normalcomputing.ai 的电子邮件经过验证
