| Reachability deficits in quantum approximate optimization V Akshay, H Philathong, MES Morales, JD Biamonte Physical review letters 124 (9), 090504, 2020 | 134 | 2020 |
| Parameter concentrations in quantum approximate optimization V Akshay, D Rabinovich, E Campos, J Biamonte Physical Review A 104 (1), L010401, 2021 | 83 | 2021 |
| Training saturation in layerwise quantum approximate optimization E Campos, D Rabinovich, V Akshay, J Biamonte Physical Review A 104 (3), L030401, 2021 | 30 | 2021 |
| Reachability deficits in quantum approximate optimization of graph problems V Akshay, H Philathong, I Zacharov, J Biamonte Quantum 5, 532, 2021 | 23 | 2021 |
| Circuit depth scaling for quantum approximate optimization V Akshay, H Philathong, E Campos, D Rabinovich, I Zacharov, XM Zhang, ... Physical Review A 106 (4), 042438, 2022 | 12 | 2022 |
| Progress towards analytically optimal angles in quantum approximate optimisation D Rabinovich, R Sengupta, E Campos, V Akshay, J Biamonte Mathematics 10 (15), 2601, 2022 | 9 | 2022 |
| Ion-native variational ansatz for quantum approximate optimization D Rabinovich, S Adhikary, E Campos, V Akshay, E Anikin, R Sengupta, ... Physical Review A 106 (3), 032418, 2022 | 5 | 2022 |
| Reachability deficits implicit in google’s quantum approximate optimization of graph problems V Akshay, H Philathong, I Zacharov, J Biamonte arXiv preprint arXiv:2007.09148, 2020 | 4 | 2020 |
| Computational phase transition signature in Gibbs sampling H Philathong, V Akshay, I Zacharov, J Biamonte arXiv preprint arXiv:1906.10705, 2019 | 2 | 2019 |
| Computational phase transitions: benchmarking Ising machines and quantum optimisers H Philathong, V Akshay, K Samburskaya, J Biamonte Journal of Physics: Complexity 2 (1), 011002, 2021 | 1 | 2021 |
| Computational phase transition signature in Gibbs sampling H Philathong, V Akshay, I Zacharov, J Biamonte Journal of Physics: Complexity 4 (4), 045010, 2023 | | 2023 |
| ON THE PERFORMANCE OF QUANTUM APPROXIMATE OPTIMIZATION V AKSHAY | | 2023 |
