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This question requires the knowledge of GRAPE. More info can be found here and in this short presentation. In the following jupyter notebook the result of this line

_overlap(result.U_f, U_f_numerical).real, abs(_overlap(result.U_f, U_f_numerical))**2

(which is in the "Test numerical integration of GRAPE pulse") the result obtained seems very low. Why would the unitary obtained by the propagator function "U_f_numerical" be so different from that derived from the cy_grape_unitary function "result.U_f"?
They are both derived from "result.H_t". I am saying that they seem to be different based on the low value "0.11355125771393167" of the _overlap function. I may be totally wrong about this. I have raised this as an issue

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    $\begingroup$ Hi Tejas! Your questions seem pretty localized to GRAPE - whatever that is. Maybe you could provide some explanation as to what GRAPE is? I suspect there might not be enough people on this forum that can lend a hand. Maybe revise your question to say... "GRAPE is a system for designing gradient ascent algorithms for NMR pulses. There is a Mathematica notebook that lets one experiment with XXX. However, when I try to use the notebook, I am getting inconsistent results. In more detail, YYY." Can you make it informative or interesting, even for those who don't know about GRAPE? $\endgroup$ Jul 10, 2019 at 12:41
  • $\begingroup$ @MarkS added some resources about GRAPE. Please let me know if it is enough. $\endgroup$ Jul 13, 2019 at 4:48

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