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How to characterize crosstalk errors with PyGsti?
In the paper "Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography", the authors used PyGsti to fit the crosstalk model to the experimental data. Is this operation built into PyGsti? Is it possible to accomplish this with a few lines of code?
Hi Lucas,
At the time of publication, a fairly involved standalone analysis script was used to do the model fitting of the crosstalk models; however, the code has evolved since then. In modern pyGSTi, the series of nested crosstalk models denoted in Figure 1 can be created in several (maybe more than a few, but not TOO many) lines of code in the attached Jupyter notebook.
Hopefully that answers your question!
Closing this as part of issue cleanup for the next minor release as we answered the question. Please reach out again if this example was not a sufficient starting point!