| Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash Proceedings of the Thirty-Forth AAAI Conference on Artificial Intelligence …, 2019 | 157 | 2019 |
| Multistart Methods for Quantum Approximate Optimization R Shaydulin, I Safro, J Larson 2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019 | 119 | 2019 |
| Layer VQE: A variational approach for combinatorial optimization on noisy quantum computers X Liu, A Angone, R Shaydulin, I Safro, Y Alexeev, L Cincio IEEE Transactions on Quantum Engineering, 2022, 2022 | 104 | 2022 |
| A hybrid approach for solving optimization problems on small quantum computers R Shaydulin, H Ushijima-Mwesigwa, CFA Negre, I Safro, SM Mniszewski, ... Computer 52 (6), 18-26, 2019 | 88 | 2019 |
| Classical symmetries and the quantum approximate optimization algorithm R Shaydulin, S Hadfield, T Hogg, I Safro Quantum Information Processing 20, 1-28, 2021 | 84* | 2021 |
| 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 | 83 | 2023 |
| Multilevel combinatorial optimization across quantum architectures H Ushijima-Mwesigwa, R Shaydulin, CFA Negre, SM Mniszewski, ... ACM Transactions on Quantum Computing, 2019 | 77 | 2019 |
| Evaluating Quantum Approximate Optimization Algorithm: A Case Study R Shaydulin, Y Alexeev 2019 Tenth International Green and Sustainable Computing Conference (IGSC), 2019 | 76 | 2019 |
| Network Community Detection on Small Quantum Computers R Shaydulin, H Ushijima-Mwesigwa, I Safro, S Mniszewski, Y Alexeev Advanced Quantum Technologies 2 (9), 1900029, 2019 | 72 | 2019 |
| 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 | 66 | 2024 |
| Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer P Niroula, R Shaydulin, R Yalovetzky, P Minssen, D Herman, S Hu, ... Scientific Reports 12 (1), 17171, 2022 | 58 | 2022 |
| Importance of kernel bandwidth in quantum machine learning R Shaydulin, SM Wild Physical Review A 106 (4), 042407, 2022 | 56 | 2022 |
| Exploiting Symmetry Reduces the Cost of Training QAOA R Shaydulin, SM Wild IEEE Transactions on Quantum Engineering, 2021 | 52 | 2021 |
| Bandwidth enables generalization in quantum kernel models A Canatar, E Peters, C Pehlevan, SM Wild, R Shaydulin Transactions on Machine Learning Research, 2022 | 48 | 2022 |
| Constrained optimization via quantum zeno dynamics D Herman, R Shaydulin, Y Sun, S Chakrabarti, S Hu, P Minssen, A Rattew, ... Communications Physics 6 (1), 219, 2023 | 47* | 2023 |
| Clifford Circuit Optimization with Templates and Symbolic Pauli Gates S Bravyi, R Shaydulin, S Hu, D Maslov Quantum 5, 580, 2021 | 46 | 2021 |
| Community Detection Across Emerging Quantum Architectures R Shaydulin, H Ushijima-Mwesigwa, I Safro, S Mniszewski, Y Alexeev 3rd International Workshop on Post Moore's Era Supercomputing, 12--15, 2018 | 42 | 2018 |
| Reinforcement-learning-based variational quantum circuits optimization for combinatorial problems S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash Machine Learning and the Physical Sciences workshop at Conference on Neural …, 2019 | 39 | 2019 |
| Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning R Shaydulin, J Chen, I Safro Multiscale Modeling & Simulation 17 (1), 482--506, 2019 | 39 | 2019 |
| Parameter setting in quantum approximate optimization of weighted problems SH Sureshbabu, D Herman, R Shaydulin, J Basso, S Chakrabarti, Y Sun, ... Quantum 8, 1231, 2024 | 34 | 2024 |
Marco PistoiaHead of Global Technology Applied Research, Global Head of Quantum Computing, JPMorgan Chase & Co.在 jpmchase.com 的電子郵件地址已通過驗證