| Multi-angle quantum approximate optimization algorithm R Herrman, PC Lotshaw, J Ostrowski, TS Humble, G Siopsis Scientific Reports 12 (1), 6781, 2022 | 163 | 2022 |
| Parameter transfer for quantum approximate optimization of weighted maxcut R Shaydulin, PC Lotshaw, J Larson, J Ostrowski, TS Humble ACM Transactions on Quantum Computing 4 (3), 1-15, 2023 | 128 | 2023 |
| Empirical performance bounds for quantum approximate optimization PC Lotshaw, TS Humble, R Herrman, J Ostrowski, G Siopsis Quantum Information Processing 20 (12), 403, 2021 | 77 | 2021 |
| Impact of graph structures for QAOA on MaxCut R Herrman, L Treffert, J Ostrowski, PC Lotshaw, TS Humble, G Siopsis Quantum Information Processing 20 (9), 289, 2021 | 70 | 2021 |
| Scaling quantum approximate optimization on near-term hardware PC Lotshaw, T Nguyen, A Santana, A McCaskey, R Herrman, J Ostrowski, ... Scientific Reports 12 (1), 12388, 2022 | 54 | 2022 |
| QAOAKit: A toolkit for reproducible study, application, and verification of the QAOA R Shaydulin, K Marwaha, J Wurtz, PC Lotshaw 2021 IEEE/ACM Second International Workshop on Quantum Computing Software …, 2021 | 33 | 2021 |
| Globally optimizing QAOA circuit depth for constrained optimization problems R Herrman, L Treffert, J Ostrowski, PC Lotshaw, TS Humble, G Siopsis Algorithms 14 (10), 294, 2021 | 29 | 2021 |
| Graph decomposition techniques for solving combinatorial optimization problems with variational quantum algorithms M Ponce, R Herrman, PC Lotshaw, S Powers, G Siopsis, T Humble, ... Quantum Information Processing 24 (2), 60, 2025 | 28 | 2025 |
| Approximate Boltzmann distributions in quantum approximate optimization PC Lotshaw, G Siopsis, J Ostrowski, R Herrman, R Alam, S Powers, ... Physical Review A 108 (4), 042411, 2023 | 26 | 2023 |
| Solving maxcut with quantum imaginary time evolution R Alam, G Siopsis, R Herrman, J Ostrowski, P Lotshaw, T Humble arXiv preprint arXiv:2201.12221, 2022 | 17 | 2022 |
| Simulations of frustrated Ising Hamiltonians using quantum approximate optimization PC Lotshaw, H Xu, B Khalid, G Buchs, TS Humble, A Banerjee Philosophical Transactions of the Royal Society A 381 (2241), 20210414, 2023 | 16 | 2023 |
| Quantifying the impact of precision errors on quantum approximate optimization algorithms G Quiroz, P Titum, P Lotshaw, P Lougovski, K Schultz, E Dumitrescu, ... Physical Review Research 7 (2), 023240, 2025 | 14 | 2025 |
| Numerical simulations of noisy quantum circuits for computational chemistry J Wright, M Gowrishankar, D Claudino, PC Lotshaw, T Nguyen, ... Materials Theory 6 (1), 18, 2022 | 13 | 2022 |
| Performant near-term quantum combinatorial optimization TD Morris, A Kaushik, M Roetteler, PC Lotshaw arXiv preprint arXiv:2404.16135, 2024 | 12 | 2024 |
| Modeling noise in global Mølmer-Sørensen interactions applied to quantum approximate optimization PC Lotshaw, KD Battles, B Gard, G Buchs, TS Humble, CD Herold Physical Review A 107 (6), 062406, 2023 | 10 | 2023 |
| Qaoakit: A toolkit for reproducible study, application, and verification of the qaoa. In 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS) R Shaydulin, K Marwaha, J Wurtz, PC Lotshaw IEEE. https://doi. org/10.1109/qcs54837, 2021 | 9 | 2021 |
| Simulating quantum thermodynamics of a finite system and bath with variable temperature PC Lotshaw, ME Kellman arXiv preprint arXiv:1906.05428, 2019 | 9 | 2019 |
| QuaSiMo: A composable library to program hybrid workflows for quantum simulation T Nguyen, L Bassman Oftelie, PC Lotshaw, D Lyakh, A McCaskey, ... IET Quantum Communication 2 (4), 160-170, 2021 | 7 | 2021 |
| QAOA dataset PC Lotshaw, TS Humble Found at https://code. ornl. gov/qci/qaoa-dataset-version1, 2021 | 7 | 2021 |
| Quantum microcanonical entropy, Boltzmann’s equation, and the second law PC Lotshaw, ME Kellman The Journal of Physical Chemistry A 123 (4), 831-840, 2018 | 6 | 2018 |
Travis HumbleOak Ridge National LaboratoryVerified email at ornl.gov
