| Exploring the tradeoff between fidelity and time optimal control of quantum unitary transformations KW Moore Tibbetts, C Brif, MD Grace, A Donovan, DL Hocker, TS Ho, ... Physical Review A—Atomic, Molecular, and Optical Physics 86 (6), 062309, 2012 | 91 | 2012 |
| Characterization of control noise effects in optimal quantum unitary dynamics D Hocker, C Brif, MD Grace, A Donovan, TS Ho, KM Tibbetts, R Wu, ... Physical Review A 90 (6), 062309, 2014 | 45 | 2014 |
| Subpopulations of neurons in lOFC encode previous and current rewards at time of choice DL Hocker, CD Brody, C Savin, CM Constantinople Elife 10, e70129, 2021 | 35 | 2021 |
| Shannon entropy based time-dependent deterministic sampling for efficient “on-the-fly” quantum dynamics and electronic structure D Hocker, X Li, SS Iyengar Journal of chemical theory and computation 7 (2), 256-268, 2011 | 22 | 2011 |
| Optimal nonlinear coherent mode transitions in Bose-Einstein condensates utilizing spatiotemporal controls D Hocker, J Yan, H Rabitz Physical Review A 93 (5), 053612, 2016 | 15 | 2016 |
| Transformation of acoustic information to sensory decision variables in the parietal cortex JD Yao, KO Zemlianova, DL Hocker, C Savin, CM Constantinople, ... Proceedings of the National Academy of Sciences 120 (2), e2212120120, 2023 | 11 | 2023 |
| Myopic control of neural dynamics D Hocker, IM Park PLoS computational biology 15 (3), e1006854, 2019 | 11 | 2019 |
| Multistep inference for generalized linear spiking models curbs runaway excitation D Hocker, IM Park 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 613-616, 2017 | 9 | 2017 |
| Survey of control performance in quantum information processing D Hocker, Y Zheng, R Kosut, T Brun, H Rabitz Quantum Information Processing 15, 4361-4390, 2016 | 8 | 2016 |
| Shannon Information Entropy Based Time-Dependent Deterministic Sampling Techniques for Efficient “on-The-Fly” Quantum Dynamics and Electronic Structure D Hocker, X Li, SS Iyengar J. Chem. Theory Comput 7, 256, 2011 | 7 | 2011 |
| Exploring the control landscape for nonlinear quantum dynamics J Yan, D Hocker, R Long, TS Ho, H Rabitz Physical Review A 89 (6), 063408, 2014 | 5 | 2014 |
| Evaluation of Quantum Control Protocols for Physical Machine Descriptions D Hocker, H Rabitz, YC Zheng, T Brun, A Shafaei, M Pedram IARPA QCS Project report, 2012 | 5 | 2012 |
| PEET: a Matlab tool for estimating physical gate errors in quantum information processing systems D Hocker, R Kosut, H Rabitz Quantum Information Processing 15, 3489-3518, 2016 | 3 | 2016 |
| Protecting quantum gates from control noise. C Brif, MD Grace, KC Young, DL Hocker, KW Moore, TS Ho, H Rabitz Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2011 | 3 | 2011 |
| Curriculum learning inspired by behavioral shaping trains neural networks to adopt animal-like decision making strategies D Hocker, CM Constantinople, C Savin bioRxiv, 2024.01. 12.575461, 2024 | 2 | 2024 |
| Multistep inference for generalized linear spiking models curbs runaway excitation. In 2017 8th International IEEE D Hocker, IM Park EMBS Conference on Neural Engineering (NER), 613-616, 0 | 2 | |
| Lessons from the quantum control landscape: Robust optimal control of quantum systems and optimal control of nonlinear Schrödinger equations DL Hocker Princeton University, 2016 | 1 | 2016 |
| Neural dynamics in the orbitofrontal cortex reveal cognitive strategies SS Schiereck, DT Pérez-Rivera, A Mah, ML DeMaegd, R McMahon Ward, ... bioRxiv, 2024.10. 29.620879, 2024 | | 2024 |
| Invariance in multi-objective quantum control D Hocker, H Rabitz arXiv preprint arXiv:1507.05918, 2015 | | 2015 |
| Improving robustness of quantum gates to control noise. C Brif, M Grace, K Young, DL Hocker, KW Moore, TS Ho, H Rabitz Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2012 | | 2012 |
HERSCHEL A. RABITZ Professor, Experimental & TheoreticalVerified email at princeton.edu