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Description
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Describe the feature
As part of my workflow, I need to convert a time independent operator into the interaction frame with respect to a general time dependent Hamiltonian (which doesn't necessarily commute with itself at different times). It would be great if I could do this on the dynamics backend as efficiently as possible, using GPUs.
One way to do this that is more generally applicable would be to introduce a function which calculates the propagator of a time dependent Hamiltonian via a time-ordered exponential. This would be equivalent to QuTiP's propagator
method. This is a general function which would be useful in a wide range of applications, and would be great to have it built efficiently with CUDA.
Are there any plans to implement something like this soon?