| A future for intelligent autonomous ocean observing systems PFJ Lermusiaux, DN Subramani, J Lin, CS Kulkarni, A Gupta, A Dutt, ... | 81 | 2017 |
| Optimal planning and sampling predictions for autonomous and Lagrangian platforms and sensors in the northern Arabian Sea PFJ Lermusiaux, PJ Haley Jr, S Jana, A Gupta, CS Kulkarni, C Mirabito, ... Oceanography 30 (2), 172-185, 2017 | 55 | 2017 |
| PySPH: a Python-based framework for smoothed particle hydrodynamics P Ramachandran, A Bhosale, K Puri, P Negi, A Muta, A Dinesh, D Menon, ... ACM Transactions on Mathematical Software (TOMS) 47 (4), 1-38, 2021 | 53 | 2021 |
| Real-time sediment plume modeling in the Southern California Bight CS Kulkarni, PJ Haley, PFJ Lermusiaux, A Dutt, A Gupta, C Mirabito, ... OCEANS 2018 MTS/IEEE Charleston, 1-10, 2018 | 33 | 2018 |
| Optimal Algorithms for Learning Quantum Phase States S Arunachalam, S Bravyi, A Dutt, TJ Yoder 18th Conference on the Theory of Quantum Computation, Communication and …, 2023 | 30* | 2023 |
| Active learning of quantum system Hamiltonians yields query advantage A Dutt, E Pednault, CW Wu, S Sheldon, J Smolin, L Bishop, IL Chuang Physical Review Research 5 (3), 033060, 2023 | 11* | 2023 |
| Clustering of massive ensemble of vehicle trajectories in strong, dynamic and uncertain ocean flows A Dutt, DN Subramani, CS Kulkarni, PFJ Lermusiaux OCEANS 2018 MTS/IEEE Charleston, 1-7, 2018 | 9 | 2018 |
| Bootstrap embedding on a quantum computer Y Liu, OR Meitei, ZE Chin, A Dutt, M Tao, IL Chuang, T Van Voorhis Journal of Chemical Theory and Computation 19 (8), 2230-2247, 2023 | 8 | 2023 |
| Polynomial-time tolerant testing stabilizer states S Arunachalam, A Dutt arXiv preprint arXiv:2408.06289, 2024 | 7* | 2024 |
| Practical benchmarking of randomized measurement methods for quantum chemistry hamiltonians A Dutt, W Kirby, R Raymond, C Hadfield, S Sheldon, IL Chuang, ... arXiv preprint arXiv:2312.07497, 2023 | 6 | 2023 |
| Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics A Dutt, AY Lokhov, M Vuffray, S Misra International Conference on Machine Learning 139, 2914-2925, 2021 | 6 | 2021 |
| Learning low-degree quantum objects S Arunachalam, A Dutt, FE Gutiérrez, C Palazuelos 51st International Colloquium on Automata, Languages, and Programming (ICALP …, 2024 | 4 | 2024 |
| High order stochastic transport and Lagrangian data assimilation A Dutt Massachusetts Institute of Technology, 2018 | 4 | 2018 |
| A note on polynomial-time tolerant testing stabilizer states S Arunachalam, S Bravyi, A Dutt arXiv preprint arXiv:2410.22220, 2024 | 3 | 2024 |
| Power of sequential protocols in hidden quantum channel discrimination S Sugiura, A Dutt, WJ Munro, S Zeytinoğlu, IL Chuang Physical Review Letters 132 (24), 240805, 2024 | 3 | 2024 |
| Adiabatic lapse rate and static stability in the Venus atmosphere calculated from real gas mixture models A Dutt, SS Limaye arXiv preprint arXiv:1806.06835, 2018 | 3 | 2018 |
| Diagonalization of large many-body Hamiltonians on a quantum processor N Yoshioka, M Amico, W Kirby, P Jurcevic, A Dutt, B Fuller, S Garion, ... arXiv preprint arXiv:2407.14431, 2024 | 2 | 2024 |
| Testing and learning structured quantum Hamiltonians S Arunachalam, A Dutt, FE Gutiérrez arXiv preprint arXiv:2411.00082, 2024 | 1 | 2024 |
| Targeted drifter deployments around Martha's Vineyard to uncover Lagrangian transport structures SD Ross, I Rypina, S Shadden, T Peacock, PFJ Lermusiaux, M Allshouse, ... 2018 Ocean Sciences Meeting, 2018 | 1 | 2018 |
| Adiabatic Lapse Rate and Static Stability in the Venus Atmosphere A Dutt, SS Limaye Venus Lab and Technology Workshop, Bombay, India, 2015 | 1 | 2015 |
Srinivasan ArunachalamIBM Quantum, Almaden Research CenterBestätigte E-Mail-Adresse bei ibm.com
