| Fixed-angle conjectures for the quantum approximate optimization algorithm on regular MaxCut graphs J Wurtz, D Lykov Physical Review A 104 (5), 052419, 2021 | 69* | 2021 |
| Transferability of optimal QAOA parameters between random graphs A Galda, X Liu, D Lykov, Y Alexeev, I Safro 2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021 | 61 | 2021 |
| Tensor network quantum simulator with step-dependent parallelization D Lykov, R Schutski, A Galda, V Vinokur, Y Alexeev 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 60 | 2022 |
| Adaptive algorithm for quantum circuit simulation R Schutski, D Lykov, I Oseledets Physical Review A 101 (4), 042335, 2020 | 30 | 2020 |
| Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem R Shaydulin, C Li, S Chakrabarti, M DeCross, D Herman, N Kumar, ... Science Advances 10 (22), eadm6761, 2024 | 24 | 2024 |
| Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm D Lykov, J Wurtz, C Poole, M Saffman, T Noel, Y Alexeev npj Quantum Information 9 (1), 73, 2023 | 20 | 2023 |
| Performance evaluation and acceleration of the QTensor quantum circuit simulator on GPUs D Lykov, A Chen, H Chen, K Keipert, Z Zhang, T Gibbs, Y Alexeev 2021 IEEE/ACM Second International Workshop on Quantum Computing Software …, 2021 | 18 | 2021 |
| Importance of diagonal gates in tensor network simulations D Lykov, Y Alexeev 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 447-452, 2021 | 17 | 2021 |
| Constructing optimal contraction trees for tensor network quantum circuit simulation C Ibrahim, D Lykov, Z He, Y Alexeev, I Safro 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2022 | 16 | 2022 |
| Fast simulation of high-depth QAOA circuits D Lykov, R Shaydulin, Y Sun, Y Alexeev, M Pistoia Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 11 | 2023 |
| Similarity-based parameter transferability in the quantum approximate optimization algorithm A Galda, E Gupta, J Falla, X Liu, D Lykov, Y Alexeev, I Safro Frontiers in Quantum Science and Technology 2, 1200975, 2023 | 10 | 2023 |
| QTensor D Lykov, A Galda, Y Alexeev Qtensor, 2021 | 10 | 2021 |
| Embedding learning in hybrid quantum-classical neural networks M Liu, J Liu, R Liu, H Makhanov, D Lykov, A Apte, Y Alexeev 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 9 | 2022 |
| Phase estimation algorithm for the multibeam optical metrology VV Zemlyanov, NS Kirsanov, MR Perelshtein, DI Lykov, OV Misochko, ... Scientific Reports 10 (1), 8715, 2020 | 6 | 2020 |
| Gpu-accelerated error-bounded compression framework for quantum circuit simulations M Shah, X Yu, S Di, D Lykov, Y Alexeev, M Becchi, F Cappello 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023 | 2 | 2023 |
| Quantum Computing and HPC Integration Y Alexeev, D Lykov, M Liu, W Berquist, O Team, A Team APS March Meeting Abstracts 2023, D58. 003, 2023 | 2 | 2023 |
| The computational power of random quantum circuits in arbitrary geometries M DeCross, R Haghshenas, M Liu, Y Alexeev, CH Baldwin, JP Bartolotta, ... arXiv preprint arXiv:2406.02501, 2024 | 1 | 2024 |
| Quantum simulation Y Alexeev, A Galda, D Lykov US Patent App. 17/400,013, 2023 | 1 | 2023 |
| Stochastic Approach For Simulating Quantum Noise Using Tensor Networks W Berquist, D Lykov, M Liu, Y Alexeev 2022 IEEE/ACM Third International Workshop on Quantum Computing Software …, 2022 | 1 | 2022 |
| Maximizing Quantum Computing Capabilities with High-Performance Computing Y Alexeev, D Lykov Bulletin of the American Physical Society, 2024 | | 2024 |
Yuri AlexeevComputational Scientist在 alcf.anl.gov 的电子邮件经过验证
