| A survey of quantum computing for finance D Herman, C Googin, X Liu, A Galda, I Safro, Y Sun, M Pistoia, Y Alexeev arXiv preprint arXiv:2201.02773, 2022 | 149 | 2022 |
| Quantum computing for finance D Herman, C Googin, X Liu, Y Sun, A Galda, I Safro, M Pistoia, Y Alexeev Nature Reviews Physics 5 (8), 450-465, 2023 | 131 | 2023 |
| 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 |
| Quantum machine learning for finance ICCAD special session paper M Pistoia, SF Ahmad, A Ajagekar, A Buts, S Chakrabarti, D Herman, S Hu, ... 2021 IEEE/ACM international conference on computer aided design (ICCAD), 1-9, 2021 | 57 | 2021 |
| 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 | 55 | 2024 |
| The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\" atze E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ... arXiv preprint arXiv:2309.07902, 2023 | 54 | 2023 |
| Constrained Optimization via Quantum Zeno Dynamics D Herman, R Shaydulin, Y Sun, S Chakrabarti, S Hu, P Minssen, A Rattew, ... arXiv preprint arXiv:2209.15024, 2022 | 40* | 2022 |
| Hybrid HHL with Dynamic Quantum Circuits on Real Hardware R Yalovetzky, P Minssen, D Herman, M Pistoia arXiv preprint arXiv:2110.15958, 2021 | 37* | 2021 |
| 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 | 26 | 2024 |
| Quantum deep hedging S Raj, I Kerenidis, A Shekhar, B Wood, J Dee, S Chakrabarti, R Chen, ... Quantum 7, 1191, 2023 | 23 | 2023 |
| Hardness of the maximum-independent-set problem on unit-disk graphs and prospects for quantum speedups RS Andrist, MJA Schuetz, P Minssen, R Yalovetzky, S Chakrabarti, ... Physical Review Research 5 (4), 043277, 2023 | 20 | 2023 |
| Characterizing barren plateaus in quantum ansätze with the adjoint representation E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ... Nature Communications 15 (1), 7171, 2024 | 16 | 2024 |
| A survey of quantum computing for finance (2022) D Herman, C Googin, X Liu, A Galda, I Safro, Y Sun, M Pistoia, Y Alexeev arXiv preprint arXiv:2201.02773, 2023 | 13 | 2023 |
| Alignment between initial state and mixer improves QAOA performance for constrained portfolio optimization Z He, R Shaydulin, S Chakrabarti, D Herman, C Li, Y Sun, M Pistoia CoRR, 2023 | 13 | 2023 |
| Alignment between initial state and mixer improves QAOA performance for constrained optimization Z He, R Shaydulin, S Chakrabarti, D Herman, C Li, Y Sun, M Pistoia npj Quantum Information 9 (1), 121, 2023 | 12 | 2023 |
| ``The adjoint is all you need: Characterizing barren plateaus in quantum ansätze''(2023) E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ... arXiv preprint arXiv:2309.07902, 0 | 10 | |
| Expressivity of variational quantum machine learning on the Boolean cube D Herman, R Raymond, M Li, N Robles, A Mezzacapo, M Pistoia IEEE Transactions on Quantum Engineering 4, 1-18, 2023 | 9 | 2023 |
| Danylo Lykov, Pierre Minssen, Yue Sun, et al. 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, ... arXiv preprint arXiv:2308.02342, 2023 | 6 | 2023 |
| A survey of quantum computing for finance. arXiv 2022 D Herman, C Googin, X Liu, A Galda, I Safro, Y Sun, M Pistoia, Y Alexeev arXiv preprint arXiv:2201.02773, 0 | 5 | |
| Solving linear systems on quantum hardware with hybrid HHL++ R Yalovetzky, P Minssen, D Herman, M Pistoia Scientific Reports 14 (1), 20610, 2024 | 2 | 2024 |
