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This is the alpha version of ``qutip-qoc``, the extended quantum control package in QuTiP.
The ``qutip-qoc`` package builds up on the ``qutip-qtrl`` `package <https://github.com/qutip/qutip-qtrl>`_.
It enhances it by providing two additional algorithms to optimize analytically defined control functions.
The package also aims for a more general way of defining control problems with QuTiP and makes switching between the four control algorithms very easy.
Features
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- ``qutip_qoc.GOAT`` is an extension to the Gradient Optimization of Analytic conTrols (GOAT) :cite:`GOAT` algorithm.
It encoporates an additional time parameterization to allow for optimization over the total evolution time.
- ``qutip_qoc.JOPT`` is an JAX automatic differentiation Optimization of Analytic conTrols (JOPT) algorithm.
- Both algorithms can be addressed by the ``qutip_qoc.optimize_pulses`` function, which consists of a two-layer approach to find global optimal values for parameterized analytical control functions.
The global optimization layer provides ``scipy.optimize.dual_annealing`` and ``scipy.optimize.basinhopping``, while the local minimization layer supports all gradient driven ``scipy.optimize.minimize`` methods.
Bug Fixes
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- None