Issue with QFIM for time evolved mixed state

PennyLane Help
22

I’m glad it worked for you @a.rozgonyi96 !

I think it’s best to mark it as solution here in case someone else is stuck with the same problem. And we’ll still keep the issue on GitHub open to work on it when we get the chance.

23

Dear @CatalinaAlbornoz ,

Can I kindly ask you about the issue 7717 you opened for me before? I opened it and I saw that it is solved and merged into the master branch, if I’m not mistaken. Does it mean that if I just run my code it will work now? I tried running it, but I still run into the same error message (using the up-to-date version of pennylane, jax 0.4.33).

24

Hi @a.rozgonyi96 ,

In principle it should now be solved with the Master version of PennyLane. Can you please post the output of qml.about()?

25

Sure, this is the version I use (JAX = 0.4.33):

Name: PennyLane
Version: 0.41.1
Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Home-page: https://github.com/PennyLaneAI/pennylane
Author: 
Author-email: 
License: Apache License 2.0
Location: /usr/local/lib/python3.11/dist-packages
Requires: appdirs, autograd, autoray, cachetools, diastatic-malt, networkx, numpy, packaging, pennylane-lightning, requests, rustworkx, scipy, tomlkit, typing-extensions
Required-by: PennyLane_Lightning

Platform info:           Linux-6.1.123+-x86_64-with-glibc2.35
Python version:          3.11.13
Numpy version:           2.0.2
Scipy version:           1.15.3
Installed devices:
- lightning.qubit (PennyLane_Lightning-0.41.1)
- default.clifford (PennyLane-0.41.1)
- default.gaussian (PennyLane-0.41.1)
- default.mixed (PennyLane-0.41.1)
- default.qubit (PennyLane-0.41.1)
- default.qutrit (PennyLane-0.41.1)
- default.qutrit.mixed (PennyLane-0.41.1)
- default.tensor (PennyLane-0.41.1)
- null.qubit (PennyLane-0.41.1)
- reference.qubit (PennyLane-0.41.1)
Shape mismatch issue when calculating QFI matrix
26

Hi @a.rozgonyi96 ,

I can see that the issue is because you were using PennyLane v0.41.1.
We have released PennyLane v0.42 today so you can now run pip install pennylane --upgrade to use this version.

Please let us know if the issue persists with PennyLane v0.42 or if this solves the problem!

1 Like
27

Hi @CatalinaAlbornoz , Thanks a lot, yes it works now. Thank you and your teams a lot!

1 Like