nickdgardner

@andreamari @natestemen Thanks for the edits, and for the heads-up about the release! I'll get these done at some point within the next hour.

Just brainstorming some potentially useful models for how to support Colab (if we decide to): •Peter Norvig's pytudes (markdown on github, very nice interface allowing you to run the notebook...

Another possible reference: • Notebooks accompanying Kevin Murphy's "Probabilistic Machine Learning" books (with a helpful [intro to colab](https://colab.research.google.com/github/probml/probml-notebooks/blob/main/notebooks/colab_intro.ipynb)): https://github.com/probml/pyprobml

@nathanshammah @Misty-W @natestemen @andreamari Here's my attempt at making a colab version of the example I have been working on (qiskit adaptation of [this](https://mitiq.readthedocs.io/en/latest/examples/simple_landscape.html)) https://colab.research.google.com/drive/1BQRT_TxbZ7HiYt_fF0HFJ8yz5U2c6JBL?usp=sharing I think this should work...

Hi, is this issue still open for contributors? I'd be interested in implement this to get a better feel for how ZX/ZH relate. I have basic familiarity with both.

Ok cool! Looking forward to working on this

Hi @jvdwetering, if it's still available I'd be interested in writing documentation for PyZX's handling of mixed classical-quantum circuit simplification (by @ABorgna)

Great! I'll get started with the paper

Hey @nathanshammah! Is there anything I can do for this? Just let me know, happy to contribute however would be helpful (or not at all if you've got it covered)