| Option pricing using quantum computers N Stamatopoulos, DJ Egger, Y Sun, C Zoufal, R Iten, N Shen, S Woerner Quantum 4, 291, 2020 | 319 | 2020 |
| 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 | 167 | 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 | 150 | 2023 |
| Scientific data exchange: a schema for HDF5-based storage of raw and analyzed data F De Carlo, D Gürsoy, F Marone, M Rivers, DY Parkinson, F Khan, ... Journal of Synchrotron Radiation 21 (6), 1224-1230, 2014 | 123 | 2014 |
| 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 | 62 | 2024 |
| 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 | 60 | 2021 |
| The efficient preparation of normal distributions in quantum registers AG Rattew, Y Sun, P Minssen, M Pistoia Quantum 5, 609, 2021 | 48* | 2021 |
| 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 | 44* | 2023 |
| Optimizing detector geometry for trace element mapping by X-ray fluorescence Y Sun, SC Gleber, C Jacobsen, J Kirz, S Vogt Ultramicroscopy 152, 44-56, 2015 | 37 | 2015 |
| 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 | 31 | 2024 |
| Quantum deep hedging S Raj, I Kerenidis, A Shekhar, B Wood, J Dee, S Chakrabarti, R Chen, ... Quantum 7, 1191, 2023 | 27 | 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 | 25* | 2023 |
| Analytics on large microstructure datasets using two-point spatial correlations: Coarsening of dendritic structures Y Sun, A Cecen, JW Gibbs, SR Kalidindi, PW Voorhees Acta Materialia 132, 374-388, 2017 | 24 | 2017 |
| 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 | 23 | 2023 |
| 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 | 20 | 2023 |
| Self-Similarity and the Dynamics of Coarsening in Materials Y Sun, WB Andrews, K Thornton, PW Voorhees Scientific Reports 8 (1), 17940, 2018 | 16 | 2018 |
| Microstructural characterization of dendritic evolution using two-point statistics KLM Elder, T Stan, Y Sun, X Xiao, PW Voorhees Scripta Materialia 182, 81-85, 2020 | 11 | 2020 |
| Morphological characterization of bicontinuous microstructures using two-point statistics Y Sun, KLM Elder, PW Voorhees IOP Conference Series: Materials Science and Engineering 580 (1), 012011, 2019 | 6 | 2019 |
| Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing A Acharya, R Yalovetzky, P Minssen, S Chakrabarti, R Shaydulin, ... arXiv preprint arXiv:2409.10301, 2024 | 1 | 2024 |
| Quantum option pricing via the Karhunen-Loève expansion A Prakash, Y Sun, S Chakrabarti, C Che, A Dandapani, D Herman, ... arXiv preprint arXiv:2402.10132, 2024 | 1* | 2024 |
Marco PistoiaHead of Global Technology Applied Research, Global Head of Quantum Computing, JPMorgan Chase & Co.Verified email at jpmchase.com
