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This repository has been archived by the owner on Dec 7, 2021. It is now read-only.
For the iterative algorithm, like VQE, it submits the circuits to the backend multiple times; however, sometimes the local machine might lose internet connection or other reasons, and then the program is crashed.
This leads all intermediate results gone.
One aspect to resolve this issue is having a robust querying for the result from the backend.
Another one is generating the checkpoint for the iterative algorithm, and then users can resume that later.
I would like to work on the first one.
The text was updated successfully, but these errors were encountered:
Still need to figure out a way to create the snapshot; however for scipy optimizer, it seems that we can not get the internal state during the optimization.
What is the expected behavior?
For the iterative algorithm, like VQE, it submits the circuits to the backend multiple times; however, sometimes the local machine might lose internet connection or other reasons, and then the program is crashed.
This leads all intermediate results gone.
One aspect to resolve this issue is having a robust querying for the result from the backend.
Another one is generating the checkpoint for the iterative algorithm, and then users can resume that later.
I would like to work on the first one.
The text was updated successfully, but these errors were encountered: