Korbinian Kottmann

This demo here (kind of) outdates this older demo, as it showcases the same functionality, but now with proprietary PennyLane functions that can be differentiated. This other demo is also...

The last two deployments for some reason did not render my changes, is this a new CI feature? I.e. I changed some formatting but not the code itself, is it...

It should be good now. @KetpuntoG can you give it a second pass?

I could not get the suggested latex expression inside the matplotlib part rendered so I reversed that change. I could render it locally, so should be good now with the...

I traced the computation for the jit example: [graph_jit-test](https://user-images.githubusercontent.com/43949391/178123559-dbc0c5c6-191e-4804-9849-22d6de3edd0e.svg) 360 s

And here for a `tf` example: [graph_tf-test](https://user-images.githubusercontent.com/43949391/178123565-afc3a974-5292-4f42-afb3-faab86178a9a.svg) ```python import time import pennylane as qml import pennylane.numpy as np import jax import jax.numpy as jnp import tensorflow as tf from matplotlib...

Currently, I have the problem that the example is too simple (?): I generate data from `h = np.linspace(0,2,200)` for the transverse field Ising model (h is the transverse field...

On another note: Since there are a lot of for-loops going through the 200 data points, it is really worth it incorporating dask. I dont know too much about it,...

I added an example image to visualize the difference between the true distribution and the samples one has access to. I recall somewhere that there is this matplotlib style that...

I used `jax.vmap` for vectorization and `jax.jit` for just-in-time compilation on the accuracy and cost functions and got a speedup of 3 orders of magnitude per evaluation. The total notebook...