| Development of a compact Ansatz via operator commutativity screening: Digital quantum simulation of molecular systems D Mondal, D Halder, S Halder, R Maitra The Journal of Chemical Physics 159 (1), 2023 | 9 | 2023 |
| Machine learning aided dimensionality reduction toward a resource efficient projective quantum eigensolver: Formal development and pilot applications S Halder, C Patra, D Mondal, R Maitra The Journal of Chemical Physics 158 (24), 2023 | 7 | 2023 |
| A synergistic approach towards optimization of coupled cluster amplitudes by exploiting dynamical hierarchy C Patra, V Agarawal, D Halder, A Chakraborty, D Mondal, S Halder, ... ChemPhysChem 24 (4), e202200633, 2023 | 7 | 2023 |
| Noise-independent route toward the genesis of a COMPACT ansatz for molecular energetics: A dynamic approach D Halder, D Mondal, R Maitra The Journal of Chemical Physics 160 (12), 2024 | 5 | 2024 |
| Corrections beyond coupled cluster singles and doubles through selected generalized rank-two operators: digital quantum simulation of strongly correlated systems D Halder, S Halder, D Mondal, C Patra, A Chakraborty, R Maitra Journal of Chemical Sciences 135 (2), 41, 2023 | 5 | 2023 |
| On-the-fly tailoring towards a rational ansatz design for digital quantum simulations D Mondal, S Halder, D Halder, R Maitra arXiv preprint arXiv:2302.03405, 2023 | 1 | 2023 |
| Measurement Free Approach towards Dynamic Construction of a Shallow Depth Ansatz for Molecular Energetics in Noisy Quantum Computers D Halder, D Mondal, R Maitra arXiv preprint arXiv:2311.09895, 2023 | | 2023 |
| Ground or Excited State: a State-Specific Variational Quantum Eigensolver for Them All D Mondal, R Maitra arXiv preprint arXiv:2308.10719, 2023 | | 2023 |
| Machine Learning Aided Dimensionality Reduction towards a Resource Efficient Projective Quantum Eigensolver S Halder, C Patra, D Mondal, R Maitra arXiv preprint arXiv:2303.11266, 2023 | | 2023 |
