| 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 | 24 | 2021 |
| Quantum machine learning for chemistry and physics M Sajjan, J Li, R Selvarajan, SH Sureshbabu, SS Kale, R Gupta, V Singh, ... Chemical Society Reviews, 2022 | 22 | 2022 |
| 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 | 21 | 2020 |
| 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 | 19 | 2021 |
| 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), 014302, 2020 | 8 | 2020 |
| 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 | 5 | 2021 |
| Finite-size scaling on a digital quantum simulator using quantum restricted Boltzmann machine B Khalid, SH Sureshbabu, A Banerjee, S Kais Frontiers in Physics, 464, 2022 | 2 | 2022 |
| JIAICIS M Sajjan, SH Sureshbabu, S Kais | | |
Sabre KaisProfessor of Chemistry and PhysicsVerified email at purdue.edu
