[Learn-data-science] Data Science Meeting (Pennylane and VQE) - March 3rd, 3:30pm PST
Eric Drechsler
edrechsler at triumf.ca
Wed Mar 3 11:35:43 PST 2021
Hallo Data Scientist,
we will meet today, Wednesday, March 3rd at 03:30pm in [1] for a rather
exciting session: You can get your hands dirty on the challenges of the
recent qHack event.
After a quick warm-up with the easy problem set mentioned in the last
e-mail, Peter will guide us through a more sophisticated demonstration
of a very popular algorithm: the Variational Quantum Eigensolver.
In order for you to run the provided notebooks, please follow the
instructions in [2] and let me know if you encounter any issues.
See q later!
[1] https://bluejeans.com/788204027 <https://bluejeans.com/788204027>
[2]
- Tested with Python 3.9.1
- for conda users: an environment file environment.yml is available
##########
- Get the package:
https://github.com/triumfmlutils/QHack21
<https://github.com/triumfmlutils/QHack21>
- install a local virtual environment and source it
python3 -m venv PATH/TO/MYVENV
source PATH/TO/VENV/bin/activate
- install the requirements:
python3 -m pip install -r QML_Challenges/requirements.txt
- add environment as jupyter kernel
ipython kernel install --name "MYVENV" --user
- start jupyter notebook from terminal
jupyter notebook VQE/VQE.ipynb
- this will open a browser window. Select the kernel "MYENV" and enjoy :)
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