Herschel Rabitz

Orcid: 0000-0002-4433-6142

Affiliations:
  • Princeton University, USA


According to our database1, Herschel Rabitz authored at least 69 papers between 1981 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
The Top Manifold Connectedness of Quantum Control Landscapes.
CoRR, 2024

2023
Kernel-based global sensitivity analysis obtained from a single data set.
Reliab. Eng. Syst. Saf., July, 2023

Attention-Based Transformer Networks for Quantum State Tomography.
CoRR, 2023

Robust Quantum Control for Set-Membership Hamiltonian Uncertainty.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022
A Generalized Kernel Method for Global Sensitivity Analysis.
SIAM/ASA J. Uncertain. Quantification, 2022

Robust Quantum Control: Analysis & Synthesis via Averaging.
CoRR, 2022

The optimization landscape of hybrid quantum-classical algorithms: From quantum control to NISQ applications.
Annu. Rev. Control., 2022

2021
Learning Control of Quantum Systems Using Frequency-Domain Optimization Algorithms.
IEEE Trans. Control. Syst. Technol., 2021

Multi-level evolution strategies for high-resolution black-box control.
J. Heuristics, 2021

Optimization Landscape of Quantum Control Systems.
Complex Syst. Model. Simul., 2021

2020
Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments.
IEEE Trans. Cybern., 2020

Quantum State Filter With Disturbance and Noise.
IEEE Trans. Autom. Control., 2020

Amplification of quadratic Hamiltonians.
Quantum, 2020

2019
On Lifting Operators and Regularity of Nonsmooth Newton Methods for Optimal Control Problems of Differential Algebraic Equations.
J. Optim. Theory Appl., 2019

Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation.
CoRR, 2019

Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems.
CoRR, 2019

2018
Quantum Control Landscape of Bipartite Systems.
CoRR, 2018

Targeted Nonlinear Adversarial Perturbations in Images and Videos.
CoRR, 2018

2017
Quantum Ensemble Classification: A Sampling-Based Learning Control Approach.
IEEE Trans. Neural Networks Learn. Syst., 2017

Relationship between sensitivity indices defined by variance- and covariance-based methods.
Reliab. Eng. Syst. Saf., 2017

Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments.
CoRR, 2017

2016
Survey of control performance in quantum information processing.
Quantum Inf. Process., 2016

PEET: a Matlab tool for estimating physical gate errors in quantum information processing systems.
Quantum Inf. Process., 2016

Optimal control protocols can be exponentially accelerated by quantum algorithms.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Sampling-Based Learning Control for Quantum Systems With Uncertainties.
IEEE Trans. Control. Syst. Technol., 2015

2014
Characterization of the Critical Sets of Quantum Unitary Control Landscapes.
IEEE Trans. Autom. Control., 2014

Analysis of gene network robustness based on saturated fixed point attractors.
EURASIP J. Bioinform. Syst. Biol., 2014

Sampling-based learning control for quantum discrimination and ensemble classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
The Gradient Flow for Control of Closed Quantum Systems.
IEEE Trans. Autom. Control., 2013

Sampled-Data Design for Robust Control of a Single Qubit.
IEEE Trans. Autom. Control., 2013

Adaptive quantum control via direct fidelity estimation and indirect model-based parametric process tomography.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Hamiltonian Identification Through Enhanced Observability Utilizing Quantum Control.
IEEE Trans. Autom. Control., 2012

Quantum control experiments as a testbed for evolutionary multi-objective algorithms.
Genet. Program. Evolvable Mach., 2012

Control through operators for quantum chemistry.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Sampled-data design for robust decoherence control of a single qubit.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A general formulation of monotonically convergent algorithms in the control of quantum dynamics beyond the linear dipole interaction.
Comput. Phys. Commun., 2011

Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL)
CoRR, 2011

Dynamic Homotopy and Landscape Dynamical Set Topology in Quantum Control
CoRR, 2011

2010
A network flow model for biclustering via optimal re-ordering of data matrices.
J. Glob. Optim., 2010

Quantum control implemented as combinatorial optimization.
J. Comput. Chem., 2010

Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Controlling quantum systems in the presence of an environment.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies.
BMC Bioinform., 2008

Development of laboratory and computational techniques for optimal and quantitative understanding of cellular metabolic networks.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Performance analysis of derandomized evolution strategies in quantum control experiments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On the evolution of laser pulses under a dynamic Quantum Control environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Optimal deep brain stimulation of the subthalamic nucleus - a computational study.
J. Comput. Neurosci., 2007

Control landscapes for observable preparation with open quantum systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Ratio control variate method for efficiently determining high-dimensional model representations.
J. Comput. Chem., 2006

2004
Multicut-HDMR with an application to an ionospheric model.
J. Comput. Chem., 2004

Closed-Loop Learning Control of Bio-Networks.
J. Comput. Biol., 2004

2003
Correlation method for variance reduction of Monte Carlo integration in RS-HDMR.
J. Comput. Chem., 2003

High-dimensional model representations generated from low order terms - lp-RS-HDMR.
J. Comput. Chem., 2003

2002
Development of solution algorithms for quantum optimal control equations in product spaces.
Proceedings of the Quantum Control, 2002

Control of quantum systems and inherent robustness to field fluctuations.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Computationally Efficient Atmospheric Chemical Kinetic Modeling by Means of High Dimensional Model Representation (HDMR).
Proceedings of the Large-Scale Scientific Computing, Third International Conference, 2001

Constructive control of a spin system via periodic control.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Constructive controllability for systems with drift motivated by and applied to quantum control.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Algorithms for closed loop control of quantum dynamics.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1997
The Effect of Lumping and Expanding on Kinetic Differential Equations.
SIAM J. Appl. Math., 1997

Control of classical regime molecular objectives - Applications of tracking and variations on the theme.
Autom., 1997

1996
Control of molecular motion.
Proc. IEEE, 1996

1994
Conformational Study of Dipeptides: A Sensitivity Analysis Approach.
J. Comput. Chem., 1994

Principal Component Analysis of Dipeptides.
J. Comput. Chem., 1994

Display of the Flow of Energy in Molecules.
J. Comput. Chem., 1994

1985
2. Sensitivity Analysis of Combustion Systems.
Proceedings of the Mathematics of Combustion, 1985

1981
Chemical sensitivity analysis theory with applications to molecular dynamics and kinetics.
Comput. Chem., 1981


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