| Variational quantum algorithms M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ... Nature Reviews Physics 3 (9), 625-644, 2021 | 1193 | 2021 |
| Error mitigation with Clifford quantum-circuit data P Czarnik, A Arrasmith, PJ Coles, L Cincio Quantum 5, 592, 2021 | 141 | 2021 |
| Effect of barren plateaus on gradient-free optimization A Arrasmith, M Cerezo, P Czarnik, L Cincio, PJ Coles Quantum 5, 558, 2021 | 139 | 2021 |
| An adaptive optimizer for measurement-frugal variational algorithms JM Kübler, A Arrasmith, L Cincio, PJ Coles Quantum 4, 263, 2020 | 118 | 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 | 81 | 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 | 76 | 2019 |
| Variational quantum state eigensolver M Cerezo, K Sharma, A Arrasmith, PJ Coles npj Quantum Information 8 (1), 113, 2022 | 75 | 2022 |
| Operator sampling for shot-frugal optimization in variational algorithms A Arrasmith, L Cincio, RD Somma, PJ Coles arXiv preprint arXiv:2004.06252, 2020 | 73 | 2020 |
| 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 | 59 | 2022 |
| 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 | 54 | 2021 |
| 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 | 40 | 2021 |
| Can error mitigation improve trainability of noisy variational quantum algorithms? S Wang, P Czarnik, A Arrasmith, M Cerezo, L Cincio, PJ Coles arXiv preprint arXiv:2109.01051, 2021 | 37 | 2021 |
| Entangled datasets for quantum machine learning L Schatzki, A Arrasmith, PJ Coles, M Cerezo arXiv preprint arXiv:2109.03400, 2021 | 30 | 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 | 28 | 2021 |
| Variational quantum algorithms (2020) M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ... arXiv preprint arXiv:2012.09265, 2012 | 26 | 2012 |
| Qubit-efficient exponential suppression of errors P Czarnik, A Arrasmith, L Cincio, PJ Coles arXiv preprint arXiv:2102.06056, 2021 | 22 | 2021 |
| Unifying and benchmarking state-of-the-art quantum error mitigation techniques D Bultrini, MH Gordon, P Czarnik, A Arrasmith, PJ Coles, L Cincio arXiv preprint arXiv:2107.13470, 2021 | 21 | 2021 |
| Decoherence of black hole superpositions by Hawking radiation A Arrasmith, A Albrecht, WH Zurek Nature communications 10 (1), 1024, 2019 | 20 | 2019 |
| 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, 2020 | 14 | 2020 |
| 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 | 10 | 2021 |
Patrick ColesNormal ComputingVerified email at normalcomputing.ai
