| 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 | 45 | 2021 |
| 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 | 38 | 2022 |
| Hybrid HHL with Dynamic Quantum Circuits on Real Hardware R Yalovetzky, P Minssen, D Herman, M Pistoia Bulletin of the American Physical Society 67 (1), 2022 | 23* | 2022 |
| The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansatze E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ... arXiv preprint arXiv:2309.07902, 2023 | 21 | 2023 |
| 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 | 20 | 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 | 17* | 2022 |
| 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 | 8 | 2023 |
| Quantum Deep Hedging EA Cherrat, S Raj, I Kerenidis, A Shekhar, B Wood, J Dee, S Chakrabarti, ... Quantum 7, 1191, 2023 | 8* | 2023 |
| Universal quantum speedup for branch-and-bound, branch-and-cut, and tree-search algorithms S Chakrabarti, P Minssen, R Yalovetzky, M Pistoia arXiv preprint arXiv:2210.03210, 2022 | 6 | 2022 |
| 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 | 6 | |
| Systems and methods for quantum computing-assisted portfolio selection A Ajagekar, P Minssen, R Yalovetzky, M Pistoia US Patent App. 17/653,258, 2023 | | 2023 |
| Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification N Kumar, R Yalovetzky, C Li, P Minnsen, M Pistoia arXiv preprint arXiv:2309.09976, 2023 | | 2023 |
| Systems and methods for implementing quantum branch-and-bound algorithms with heuristics S Chakrabarti, P Minssen, R Yalovetzky, M Pistoia US Patent App. 17/648,054, 2023 | | 2023 |
| Systems and methods for quantum computing-based extractive summarization P Niroula, R Yalovetzky, P Minssen, D Herman, M Pistoia, S Hu US Patent App. 17/647,311, 2023 | | 2023 |
| Systems and methods for enhanced eigenvalue inversion using quantum conditional logic R Yalovetzky, D Herman, P Minssen, M Pistoia, B Alexander, S Hu US Patent App. 17/331,445, 2022 | | 2022 |
| Systems and methods for optimization of time evolution for quantum computer-based eigenvalue estimation P Minssen, R Yalovetzky, D Herman, M Pistoia, B Alexander, S Hu US Patent App. 17/331,472, 2022 | | 2022 |
Marco PistoiaHead of Global Technology Applied Research, Head of Quantum Computing, JPMorgan Chase & Co.Verified email at jpmchase.com
