Skip to content

Latest commit

 

History

History
15 lines (10 loc) · 469 Bytes

README.md

File metadata and controls

15 lines (10 loc) · 469 Bytes

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: [email protected]