Code to accompany the article "Backpropagation scaling in parameterized quantum circuits"

Paper link: https://arxiv.org/abs/2306.14962

The code backprop_scaling_numerics.py allows one to reproduce the results of Figure 6 and Figure 9 in the article.

Dependencies

• Pennylane
• Jax/Jaxlib
• Optax
• Matplotlib

You can simply install the dependencies from the requirements.txt file via pip install -r requirements.txt.

Contact: bowles.physics@gmail.com