qiskit-tutorials
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adding compiler tools introduced in qv64 paper
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The tutorials do not make API calls like IBMQ.load_account(). As I think you need that here, this tutorial should probably be hosted on the IQX until such time as the IBMQ provider is moved and hosts its own set of IBM Quantum specific tutorials.
One thing is to maybe avoid carrying around ~30MB of qpy data we can compress it with gzip and that cuts the size in about half for me locally. Then change the open lines to use gzip.open() from stdlib instead of the plain open. This will make the load slightly slower because it will decompress while reading, but should decrease the size of things people need to download and more importantly what we keep the git repo size down (as we keep around binary files in the repo forever and each change to the file will keep a new duplicate copy)
closing this as it has been here for a while and might not be of interest anymore