QUCON: A fast KrylovNewton code for dipole quantum control problems ?
A computer package (QUCON) is presented aimed at the solution of dipole quantum optimal control problems. This MATLAB package is based on a recently developed computational strategy based on a globalized reduced Hessian KrylovNewton scheme and a discretize-before-optimize approach. To discretize the governing Schrdinger model a norm-preserving modified CrankNicolson scheme is used. The discretize-before-optimize criteria allows the formulation of accurate gradients and a symmetric Hessian. Robustness of the resulting Newton approach is guaranteed using a robust linesearch procedure. Results of experiments demonstrate that the QUCON code is able to provide fast and accurate controls for high-energy state transitions. Program title: QUCON Catalogue identifier: AEGZ_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEGZ_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 543 No. of bytes in distributed program, including test data, etc.: 11?419 Distribution format: tar.gz Programming language: MATLAB Computer:  PCs, AMD Athlon 642 64  2 Dual, 2.21 GHz, 1.5 GB RAM Operating system: Microsoft Windows XP Word size: 32 bit Classification: 4.9 Nature of problem: Dipole quantum control Solution method: Iterative Running time: 60600 sec
quantum systems optimal control theory optimality conditions newton scheme