Closed kessler-frost closed 2 months ago
CC: @araghukas @santoshkumarradha
One issue I had when converting this from a jupyter notebook to a .py
file using notebook_to_demo.py
was this error:
❯ python notebook_converter/notebook_to_demo.py covalent_cloud_gpu.ipynb --is-executable=False
Traceback (most recent call last):
File "/Users/neptune/dev/qml/notebook_converter/notebook_to_demo.py", line 360, in <module>
nb_py = convert_notebook_to_python(
File "/Users/neptune/dev/qml/notebook_converter/notebook_to_demo.py", line 262, in convert_notebook_to_python
cell_id = cell["id"]
KeyError: 'id'
I circumvented it by editing Line 262 to cell_id = i
instead.
Hi @kessler-frost , thank you so much for making the updates and marking the pull request as ready for review! I can't push directly to your branch because it's in an organization-owned fork
Could you please add the following thumbnails to the pull request?
thumbnail_covalent_cloud_gpu.png
to the demonstration_assets/covalent_cloud_gpu/
folder
thumbnail_large_covalent_cloud_gpu.png
to the large_demo_thumbnails
folder
You can also transfer the included plot into the demonstrations_assets
folder by following the instructions here with the syntax below.
##############################################################################
#.. figure:: ../_static/demonstrations_assets/<demo name>/image.png
# :align: center
# :width: 90%
It would be great if you could also complete the metadata file by following the readme instructions, so we can include everything in the review. (You can also look at a recently merged demo to check if anything might be missing, e.g., this one.) If you're not sure about the dates, put down estimates that we can change later.
For the visuals in the metadata file, you can include this:
"previewImages": [
{
"type": "thumbnail",
"uri": "/_static/demonstration_assets/covalent_cloud_gpu/thumbnail_covalent_cloud_gpu.png"
},
{
"type": "large_thumbnail",
"uri": "/_static/large_demo_thumbnails/thumbnail_large_covalent_cloud_gpu.png"
}
],
Once metadata can be validated, we can also check out the deployment preview as part of the review.
Please let me know if you have any questions or concerns.
Thanks a lot @ikurecic ! Updated the PR ✅ . Hopefully I haven't missed anything else 🤞 .
You can also transfer the included plot into the demonstrations_assets folder by following the instructions here with the syntax below.
My bad actually I must've missed the right dir when converting it from .ipynb
, updated ✅ .
Thank you for opening this pull request.
You can find the built site at this link.
Deployment Info:
1101
fd904ea1dc1c5154106e8ac3a2ac72ee55e8058c
(The Deployment SHA
refers to the latest commit hash the docs were built from)Note: It may take several minutes for updates to this pull request to be reflected on the deployed site.
Thanks @josh146 !
Hey @kessler-frost, would you be able to give us permissions to push to this branch :) That way we can help out with some of the operations here.
Hey @kessler-frost, would you be able to give us permissions to push to this branch :) That way we can help out with some of the operations here.
You should have access now @josh146
@wjcunningham7 thank you!
Hey all! There was a slight accident when I tried to merge the master branch of the QML repo into this PR --- I think because the forked repo did not create a new branch (and instead used master
as the branch), the sync caused this PR to be accidentally merged.
I've reverted the merge, and everything is find, but it doesn't look like I am able to re-open this PR. To try and fix this, I create a new PR, this time with a new branch name (not master
), here: https://github.com/PennyLaneAI/qml/pull/1115/
@kessler-frost you should have full access to push to this PR.
Apologies!
Thanks @josh146 !
Title: Running GPU-accelerated quantum circuit simulations on Covalent Cloud using PennyLane
Summary:
Relevant references:
Possible Drawbacks:
Related GitHub Issues:
If you are writing a demonstration, please answer these questions to facilitate the marketing process.
GOALS — Why are we working on this now?
Eg. Promote a new PL feature or show a PL implementation of a recent paper.
AUDIENCE — Who is this for?
Eg. Chemistry researchers, PL educators, beginners in quantum computing.
KEYWORDS — What words should be included in the marketing post?
Which of the following types of documentation is most similar to your file? (more details here)
[ ] Tutorial
[ ] Demo
[ ] How-to