[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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