| 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 | 113 | 2022 |
| Fabrication of a material assembly of silver nanoparticles using the phase gradients of optical tweezers Z Yan, M Sajjan, NF Scherer Physical review letters 114 (14), 143901, 2015 | 107 | 2015 |
| Quantum machine-learning for eigenstate filtration in two-dimensional materials M Sajjan, SH Sureshbabu, S Kais Journal of American Chemical Society 143 (44), 18426, 2021 | 45 | 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 | 39 | 2021 |
| Reprogrammable and high-precision holographic optical addressing of trapped ions for scalable quantum control CY Shih, S Motlakunta, N Kotibhaskar, M Sajjan, R Hablützel, R Islam npj Quantum Information 7 (1), 57, 2021 | 26 | 2021 |
| Manipulating phonons of a trapped-ion system using optical tweezers YH Teoh, M Sajjan, Z Sun, F Rajabi, R Islam Physical Review A 104 (2), 022420, 2021 | 22 | 2021 |
| Imaginary components of out-of-time-order correlator and information scrambling for navigating the learning landscape of a quantum machine learning model M Sajjan, V Singh, R Selvarajan, S Kais Physical Review Research 5 (1), 013146, 2023 | 21 | 2023 |
| Excited-state spectra of strongly correlated molecules from a reduced-density-matrix approach S Hemmatiyan, M Sajjan, AW Schlimgen, DA Mazziotti The Journal of Physical Chemistry Letters 9 (18), 5373-5378, 2018 | 17 | 2018 |
| Current-constrained density-matrix theory to calculate molecular conductivity with increased accuracy M Sajjan, DA Mazziotti Communications Chemistry 1 (1), 31, 2018 | 15 | 2018 |
| Variational quantum circuits to prepare low energy symmetry states R Selvarajan, M Sajjan, S Kais Symmetry 14 (3), 457, 2022 | 13 | 2022 |
| Variational approach to quantum state tomography based on maximal entropy formalism R Gupta, M Sajjan, RD Levine, S Kais Physical Chemistry Chemical Physics 24 (47), 28870-28877, 2022 | 12 | 2022 |
| Hamiltonian learning from time dynamics using variational algorithms R Gupta, R Selvarajan, M Sajjan, RD Levine, S Kais The Journal of Physical Chemistry A 127 (14), 3246-3255, 2023 | 10 | 2023 |
| Magnetic phases of spatially modulated spin-1 chains in Rydberg excitons: Classical and quantum simulations M Sajjan, H Alaeian, S Kais The Journal of Chemical Physics 157 (22), 2022 | 9 | 2022 |
| Nanoconfinement of water layers in lamellar structures prepared in the presence and absence of organic solvent D De, M Sajjan, J Narayanan, JR Bellare, A Datta The Journal of Physical Chemistry B 117 (7), 2106-2112, 2013 | 9 | 2013 |
| Diffusive escape from an entropic metastable state D Mondal, M Sajjan, D Shankar Ray Journal of the Indian Chemical Society 88 (12), 1791, 2011 | 8 | 2011 |
| Entangling and disentangling many-electron quantum systems with an electric field M Sajjan, K Head-Marsden, DA Mazziotti Physical Review A 97 (6), 062502, 2018 | 7 | 2018 |
| Quantum algorithms and applications for open quantum systems LH Delgado-Granados, TJ Krogmeier, LAM Sager-Smith, I Avdic, Z Hu, ... Chemical Reviews, 2024 | 6 | 2024 |
| Dimensionality reduction with variational encoders based on subsystem purification R Selvarajan, M Sajjan, TS Humble, S Kais Mathematics 11 (22), 4678, 2023 | 6 | 2023 |
| Quantum computing and chemistry JD Weidman, M Sajjan, C Mikolas, ZJ Stewart, J Pollanen, S Kais, ... Cell Reports Physical Science 5 (9), 2024 | 5 | 2024 |
| Anisotropic dynamics of guest molecules in aerosol OT lamellar structures D De, M Sajjan, A Datta Physical Chemistry Chemical Physics 15 (45), 19724-19729, 2013 | 5 | 2013 |
