Convergence of Iterative Quadratic Programming for Robust Fixed-Endpoint Transfer of Bilinear Systems
Luke S. Baker, Andre Luiz P. de Lima, Anatoly Zlotnik, Jr-Shin Li,, Michael J. Martin

TL;DR
This paper introduces a computational method for robust open-loop control of bilinear ensemble systems, with applications in quantum control and atom interferometry, using iterative quadratic programming and polynomial approximation.
Contribution
It develops a novel iterative quadratic programming approach for fixed-endpoint transfer in bilinear ensemble systems, addressing robustness and parameter uncertainties.
Findings
Successfully applied to quantum control pulse synthesis.
Demonstrated effectiveness in ultra-cold atom interferometry.
Achieved convergence in control optimization for complex systems.
Abstract
We present a computational method for open-loop minimum-norm control synthesis for fixed-endpoint transfer of bilinear ensemble systems that are indexed by two continuously varying parameters. We suppose that one ensemble parameter scales the homogeneous, linear part of the dynamics, and the second parameter scales the effect of the applied control inputs on the inhomogeneous, bilinear dynamics. This class of dynamical systems is motivated by robust quantum control pulse synthesis, where the ensemble parameters correspond to uncertainty in the free Hamiltonian and inhomogeneity in the control Hamiltonian, respectively. Our computational method is based on polynomial approximation of the ensemble state in parameter space and discretization of the evolution equations in the time domain using a product of matrix exponentials corresponding to zero-order hold controls over the time…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Advanced Optimization Algorithms Research · Numerical methods for differential equations
