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Is it possible to convert a qiskit circuit into a numpy function, such that the resulting function can be used for further analysis with, possibly, implicit parameters?

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This is currently not possible by using Qiskit directly but I developed the qiskit-symb package (as part of the official Qiskit Ecosystem) on top of qiskit-terra itself to allow something very similar to what you need.

Check out the README file in the qiskit-symb project repository (this section, in particular). Feel free to contact me if you have questions or you need any support.

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  • $\begingroup$ Ah! Good to have the developer here. Yes, I saw your question here in the stack, but it seems that it doesn't "accept" controlled unitary gates: TypeError: CUGate.__init__() got multiple values for argument 'ctrl_qubits'. This is kind of strange, as my circuit is fine, even plotting the circuit as circuit.draw('mpl') with Parameters. $\endgroup$ Aug 8, 2023 at 11:00
  • $\begingroup$ This error is for the first part of the package, when I do op = Operator(circuit); op.to_sympy(). If I use statevec = Statevector(circuit).to_lambda() then the kernel keeps running indefinitely. $\endgroup$ Aug 8, 2023 at 11:38
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    $\begingroup$ Uh ok, I'm sorry about that! The problem here should be related to a well known issue in Qiskit about parameters assignment for the CUGate (see here) and I guess the error is then not handled properly by qiskit-symb. Could you please open an issue on the GitHub repo specifying your Python and qiskit-terra version and showing a minimal piece of code raising the error? I could take a look into it immediately. $\endgroup$ Aug 8, 2023 at 12:25
  • $\begingroup$ Of course, thanks a lot!! $\endgroup$ Aug 9, 2023 at 10:43

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