| qubit-adapt-vqe: An adaptive algorithm for constructing hardware-efficient ansätze on a quantum processor HL Tang, VO Shkolnikov, GS Barron, HR Grimsley, NJ Mayhall, E Barnes, ... PRX Quantum 2 (2), 020310, 2021 | 429 | 2021 |
| Adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer L Zhu, HL Tang, GS Barron, FA Calderon-Vargas, NJ Mayhall, E Barnes, ... Physical Review Research 4 (3), 033029, 2022 | 176 | 2022 |
| An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer (2020) L Zhu, HL Tang, GS Barron, FA Calderon-Vargas, NJ Mayhall, E Barnes, ... URL https://arxiv. org/abs, 2005 | 176* | 2005 |
| Solving nuclear structure problems with the adaptive variational quantum algorithm AM Romero, J Engel, HL Tang, SE Economou Physical Review C 105 (6), 064317, 2022 | 47 | 2022 |
| PRX Quantum 2, 020310 (2021) HL Tang, VO Shkolnikov, GS Barron, HR Grimsley, NJ Mayhall, E Barnes, ... arXiv preprint arXiv:1911.10205, 0 | 6 | |
| Designing globally time-optimal entangling gates using geometric space curves HL Tang, K Connelly, A Warren, F Zhuang, SE Economou, E Barnes Physical Review Applied 19 (4), 044094, 2023 | 5 | 2023 |
| qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor. arXiv e-prints HL Tang, VO Shkolnikov, GS Barron, HR Grimsley, NJ Mayhall, E Barnes, ... November, 2019 | 5 | 2019 |
| An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer. arXiv 2020 L Zhu, HL Tang, GS Barron, F Calderon-Vargas, NJ Mayhall, E Barnes, ... arXiv preprint arXiv:2005.10258, 0 | 5 | |
| Improving the performance of quantum approximate optimization algorithm through an adaptive, problem-tailored ansatz L Zhu, HL Tang, G Barron, F Calderon-Vargas, N Mayhall, E Barnes, ... APS March Meeting Abstracts 2021, L34. 010, 2021 | 3 | 2021 |
| Designing globally optimal entangling gates using geometric space curves HL Tang, K Connelly, A Warren, F Zhuang, SE Economou, E Barnes arXiv preprint arXiv:2204.02876, 2022 | 1 | 2022 |
| RNN-VQE: a machine learning approach to generating variational ansatze A Warren, L Zhu, HL Tang, K Najafi, E Barnes, S Economou Bulletin of the American Physical Society 65, 2020 | 1 | 2020 |
| Non-variational ADAPT Algorithm For State Preparation HL Tang, P Biswas, Y Chen, C Arenz, S Economou Bulletin of the American Physical Society, 2024 | | 2024 |
| Fast high-fidelity entangling gates for silicon quantum dot spin qubits from geometric space curves HL Tang, F Zhuang, A Warren, K Connelly, S Economou, E Barnes APS March Meeting Abstracts 2022, Y38. 008, 2022 | | 2022 |
| Testing a quantum algorithm on the Lipkin model A Marquez Romero, J Engel, S Economou, HL Tang APS Division of Nuclear Physics Meeting Abstracts 2021, MN. 007, 2021 | | 2021 |
| Systematically Improving Quantum Approximate Optimization Algorithm with an Adaptive Ansatz S Economou, L Zhu, HL Tang, G Barron, E Barnes, N Mayhall Bulletin of the American Physical Society 65, 2020 | | 2020 |
