QUCON: A fast Krylov–Newton 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 Krylov–Newton scheme and a discretize-before-optimize approach.To discretize the governing Schrödinger model a norm-preserving modified Crank–Nicolson 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 summaryProgram title: QUCONCatalogue identifier: AEGZ_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEGZ_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 543No. of bytes in distributed program, including test data, etc.: 11 419Distribution format: tar.gzProgramming language: MATLABComputer:   PCs, AMD Athlon 64×264×2 Dual, 2.21 GHz, 1.5 GB RAMOperating system: Microsoft Windows XPWord size: 32 bitClassification: 4.9Nature of problem: Dipole quantum controlSolution method: IterativeRunning time: 60–600 sec