| Quantum machine learning for chemistry and physics M Sajjan, J Li, R Selvarajan, SH Sureshbabu, SS Kale, R Gupta, V Singh, ... Chemical Society Reviews 51 (15), 6475-6573, 2022 | 62 | 2022 |
| Quantum machine-learning for eigenstate filtration in two-dimensional materials M Sajjan, SH Sureshbabu, S Kais Journal of the American Chemical Society 143 (44), 18426-18445, 2021 | 36 | 2021 |
| Implementation of quantum machine learning for electronic structure calculations of periodic systems on quantum computing devices SH Sureshbabu, M Sajjan, S Oh, S Kais Journal of Chemical Information and Modeling 61 (6), 2667-2674, 2021 | 29 | 2021 |
| Reinforcement learning for semi-autonomous approximate quantum eigensolver F Albarrán-Arriagada, JC Retamal, E Solano, L Lamata Machine Learning: Science and Technology 1 (1), 015002, 2020 | 25 | 2020 |
| 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 | 20 | 2023 |
| Heat-assisted detection and ranging F Bao, X Wang, SH Sureshbabu, G Sreekumar, L Yang, V Aggarwal, ... Nature 619 (7971), 743-748, 2023 | 20 | 2023 |
| Introduction of multi-particle Büttiker probes—Bridging the gap between drift diffusion and quantum transport KC Wang, R Grassi, Y Chu, S Hari Sureshbabu, J Geng, P Sarangapani, ... Journal of Applied Physics 128 (1), 2020 | 9 | 2020 |
| 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 | 6 | 2024 |
| Quantum computing enhanced machine learning for physico-chemical applications M Sajjan, J Li, R Selvarajan, SH Sureshbabu, SS Kale, R Gupta, S Kais arXiv preprint arXiv:2111.00851, 2021 | 6 | 2021 |
| 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 | |
| Expressive variational quantum circuits provide inherent privacy in federated learning N Kumar, J Heredge, C Li, S Eloul, SH Sureshbabu, M Pistoia arXiv preprint arXiv:2309.13002, 2023 | 4 | 2023 |
| Finite-size scaling on a digital quantum simulator using quantum restricted Boltzmann machine B Khalid, SH Sureshbabu, A Banerjee, S Kais Frontiers in Physics 10, 915863, 2022 | 3 | 2022 |
| Expressive quantum circuits provide inherent privacy in federated learning N Kumar, J Heredge, C Li, SH Sureshbabu, S Eloul, M Pistoia Bulletin of the American Physical Society, 2024 | | 2024 |
| Quantum option pricing via the Karhunen-Lo\{e} ve expansion A Prakash, Y Sun, S Chakrabarti, C Che, A Dandapani, D Herman, ... arXiv preprint arXiv:2402.10132, 2024 | | 2024 |
| Classical and Quantum Optimization for Scientific Computation SH Sureshbabu Purdue University Graduate School, 2023 | | 2023 |
| Quantum option pricing via the Karhunen-Loève expansion A Prakash, Y Sun, S Chakrabarti, C Che, A Dandapani, D Herman, ... | | |
| JIAICIS M Sajjan, SH Sureshbabu, S Kais | | |
Sabre KaisProfessor of Chemistry and Physicspurdue.edu의 이메일 확인됨
