New open source Python module for quantum optimal control in QuTiP

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The quantum control group at Aberystwyth University have developed a Python module for quantum optimal control. The module has been incorporated into QuTiP (Quantum Toolbox in Python) and is now part of the official release 3.1.0, which was announced on 1 Jan 2015. The module provides a method for determining control pulses for quantum systems via GRAPE, that is easy to configure, and runs on a free-to-use, open, and scalable platform. Originally based on the DYNAMO MATLAB package ( it has now been extended to support unitary, Lindbladian and Symplectic dynamics, all with exact gradients. The main processing is completed using a well established implementation of the L-BFGS-B algorithm within SciPy, that is developed in Fortran, and is hence very efficient. For further information see the official QuTiP 3.1.0 release statement:!topic/qutip/5gp5JBzLiks
Software and documentation can be downloaded from:
For examples of use see:
With any questions related to the qutip.control modules please contact:
Alexander Pitchford: