| Quantum process tomography with unsupervised learning and tensor networks G Torlai, CJ Wood, A Acharya, G Carleo, J Carrasquilla, L Aolita Nature Communications 14 (1), 2858, 2023 | 63 | 2023 |
| Shadow tomography based on informationally complete positive operator-valued measure A Acharya, S Saha, AM Sengupta Physical Review A 104 (5), 052418, 2021 | 42* | 2021 |
| Many-body localization due to correlated disorder in Fock space S Ghosh, A Acharya, S Sahu, S Mukerjee Physical Review B 99 (16), 165131, 2019 | 27 | 2019 |
| Decomposition of matrix product states into shallow quantum circuits MS Rudolph, J Chen, J Miller, A Acharya, A Perdomo-Ortiz Quantum Science and Technology 9 (1), 015012, 2023 | 25 | 2023 |
| Synergy between quantum circuits and tensor networks: Short-cutting the race to practical quantum advantage MS Rudolph, J Miller, D Motlagh, J Chen, A Acharya, A Perdomo-Ortiz arXiv preprint arXiv:2208.13673, 2022 | 24 | 2022 |
| Synergistic pretraining of parametrized quantum circuits via tensor networks MS Rudolph, J Miller, D Motlagh, J Chen, A Acharya, A Perdomo-Ortiz Nature Communications 14 (1), 8367, 2023 | 12 | 2023 |
| Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography M Bhatt, A Acharya, PK Yalavarthy Journal of Biomedical Optics 21 (10), 106002-106002, 2016 | 10 | 2016 |
| Qubit seriation: Improving data-model alignment using spectral ordering A Acharya, M Rudolph, J Chen, J Miller, A Perdomo-Ortiz arXiv preprint arXiv:2211.15978, 2022 | 3 | 2022 |
| Similarity-preserving Neural Networks from GPLVM and Information Theory Y Bahroun, A Acharya, D Chklovskii, AM Sengupta NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022 | 1 | 2022 |
| Fixed-point Grover Adaptive Search for QUBO Problems Á Nagy, J Park, C Zhang, A Acharya, A Khan arXiv preprint arXiv:2311.05592, 2023 | | 2023 |
| Learning the eigenstructure of quantum dynamics using classical shadows A Acharya, S Saha, S Sridharan, Y Bahroun, AM Sengupta arXiv preprint arXiv:2309.12631, 2023 | | 2023 |
| Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training Y Bahroun, S Sridharan, A Acharya, DB Chklovskii, AM Sengupta ICML LLW 2023, 2023 | | 2023 |
| Temporal quantum tomography with weak measurements A Acharya, C Lemma, V Oganesyan, A Sengupta Bulletin of the American Physical Society, 2023 | | 2023 |
| Learning quantum dynamics: Lindblad operators from classical shadows A Acharya, S Saha, S Sridharan, Y Bahroun, A Sengupta Bulletin of the American Physical Society, 2023 | | 2023 |
Anirvan M. SenguptaProfessor of Physics and Astronomy, Rutgers UniversityVerified email at physics.rutgers.edu
