| Shortcuts to adiabaticity in digitized adiabatic quantum computing NN Hegade, K Paul, Y Ding, M Sanz, F Albarrán-Arriagada, E Solano, ... Physical Review Applied 15 (2), 024038, 2021 | 171 | 2021 |
| Digitized-counterdiabatic quantum approximate optimization algorithm P Chandarana, NN Hegade, K Paul, F Albarrán-Arriagada, E Solano, ... Physical review research 4 (1), 013141, 2022 | 151 | 2022 |
| Reconstruction of a photonic qubit state with reinforcement learning S Yu, F Albarrán‐Arriagada, JC Retamal, YT Wang, W Liu, ZJ Ke, Y Meng, ... Advanced Quantum Technologies 2 (7-8), 1800074, 2019 | 80 | 2019 |
| Measurement-based adaptation protocol with quantum reinforcement learning F Albarrán-Arriagada, JC Retamal, E Solano, L Lamata arXiv preprint arXiv:1803.05340, 2018 | 80 | 2018 |
| Portfolio optimization with digitized counterdiabatic quantum algorithms NN Hegade, P Chandarana, K Paul, X Chen, F Albarrán-Arriagada, ... Physical Review Research 4 (4), 043204, 2022 | 69 | 2022 |
| Role of quantum correlations in light-matter quantum heat engines GA Barrios, F Albarrán-Arriagada, FA Cárdenas-López, G Romero, ... Physical Review A 96 (5), 052119, 2017 | 69 | 2017 |
| One-Photon Solutions to the Multiqubit Multimode Quantum Rabi Model for Fast -State Generation J Peng, J Zheng, J Yu, P Tang, GA Barrios, J Zhong, E Solano, ... Physical Review Letters 127 (4), 043604, 2021 | 42 | 2021 |
| Digitized adiabatic quantum factorization NN Hegade, K Paul, F Albarrán-Arriagada, X Chen, E Solano arXiv preprint arXiv:2105.09480, 2021 | 33 | 2021 |
| Reinforcement learning for semi-autonomous approximate quantum eigensolver F Albarrán-Arriagada, JC Retamal, E Solano, L Lamata Machine Learning: Science and Technology 1 (1), 015002, 2020 | 31 | 2020 |
| Superconducting circuit architecture for digital-analog quantum computing J Yu, JC Retamal, M Sanz, E Solano, F Albarrán-Arriagada EPJ Quantum Technology 9 (1), 1-35, 2022 | 26 | 2022 |
| One-way quantum computing in superconducting circuits F Albarrán-Arriagada, G Alvarado Barrios, M Sanz, G Romero, L Lamata, ... Physical Review A 97 (3), 032320, 2018 | 25 | 2018 |
| Digital-analog quantum simulation of fermionic models LC Céleri, D Huerga, F Albarrán-Arriagada, E Solano, ... Physical Review Applied 19 (6), 064086, 2023 | 20 | 2023 |
| Quantum mechanical engine for the quantum rabi model G Alvarado Barrios, FJ Peña, F Albarrán-Arriagada, P Vargas, ... Entropy 20 (10), 767, 2018 | 17 | 2018 |
| Analog quantum approximate optimization algorithm N Barraza, GA Barrios, J Peng, L Lamata, E Solano, F Albarrán-Arriagada Quantum Science and Technology 7 (4), 045035, 2022 | 15 | 2022 |
| Entangled quantum memristors S Kumar, FA Cárdenas-López, NN Hegade, X Chen, ... arXiv preprint arXiv:2107.05306, 2021 | 15 | 2021 |
| Spin-1 models in the ultrastrong-coupling regime of circuit QED F Albarrán-Arriagada, L Lamata, E Solano, G Romero, JC Retamal Physical Review A 97 (2), 022306, 2018 | 15 | 2018 |
| Digital-analog quantum computing of fermion-boson models in superconducting circuits S Kumar, NN Hegade, AM Visuri, BA Bhargava, JFR Hernandez, ... npj Quantum Information 11 (1), 43, 2025 | 14 | 2025 |
| Single-layer digitized-counterdiabatic quantum optimization for p-spin models H Guan, F Zhou, F Albarrán-Arriagada, X Chen, E Solano, NN Hegade, ... Quantum Science and Technology 10 (1), 015006, 2024 | 13 | 2024 |
| Tunable non-Markovianity for bosonic quantum memristors JL Tang, G Alvarado Barrios, E Solano, F Albarrán-Arriagada Entropy 25 (5), 756, 2023 | 11 | 2023 |
| Tripartite entanglement in quantum memristors S Kumar, FA Cárdenas-López, NN Hegade, F Albarrán-Arriagada, ... Physical Review Applied 18 (3), 034004, 2022 | 10 | 2022 |
Enrique SolanoCEO, Kipu Quantum, Berlin, GermanyVerified email at kipu-quantum.com
