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I'm coding using the Jupyter Notebook in the IBM Quantum Lab. However, I don't know why I see the following repeated message every time when I execute a quantum circuit: enter image description here

This message shows thousands of times and occupied a significant amount of memory. However, it shows that the job I submitted could be successfully executed, but I'm not able to access the result. enter image description here

Does anyone know what happened? What can I do to fix this issue? Thanks a lot!

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  • $\begingroup$ I use the Notebook in Quantum Lab because it has a more up to date Python version so that some issues such as 'BrokenProcessPool' error could be avoided:) $\endgroup$
    – ZR-
    Feb 5, 2021 at 6:27
  • $\begingroup$ Has anyone encountered similar issues? $\endgroup$
    – ZR-
    Feb 5, 2021 at 6:49
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    $\begingroup$ Hi, btw normally the latest version of Qiskit (0.23.4) now supports the version 3.9 of python if you wish to work locally ;) $\endgroup$
    – Lena
    Feb 5, 2021 at 9:03
  • $\begingroup$ @Lena Thanks!! By 'locally', do you mean working on the regular notebook or IBM Q Lab? $\endgroup$
    – ZR-
    Feb 5, 2021 at 16:37
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    $\begingroup$ I mean on regular notebook $\endgroup$
    – Lena
    Feb 5, 2021 at 16:59

1 Answer 1

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NumPy 1.20 is deprecating part of their API. You have three options:

  • Wait for the next Qiskit release (0.24). It should be around the corner (the PR fixing this was merged already).
  • Downgrade NumPy running !pip install numpy==0.19 in the notebook and restart it.
  • Ignore warnings:
import warnings
warnings.filterwarnings('ignore')
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  • $\begingroup$ Thanks a lot for the answer! Unfortunately the third option doesn't work for me. By waiting for the next Qiskit release, do you mean waiting for the new version? $\endgroup$
    – ZR-
    Feb 5, 2021 at 6:47
  • $\begingroup$ Indeed. This will be solved in qiskit-0.24 as the PR to fix the issues was already merged. github.com/Qiskit/qiskit-terra/pull/5758 $\endgroup$
    – luciano
    Feb 5, 2021 at 8:01
  • $\begingroup$ oh! I missed the part in where you said you are running in the Quantum Lab. I just adapted the answer to it (run pip install in the notebook with the bang). $\endgroup$
    – luciano
    Feb 5, 2021 at 8:14
  • $\begingroup$ Can I downgrade the Numpy in Q Lab? I tried that command with the bang but it doesn't work. $\endgroup$
    – ZR-
    Feb 5, 2021 at 17:30
  • $\begingroup$ you can. What's the error? $\endgroup$
    – luciano
    Feb 5, 2021 at 19:30

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