Issue when using batched data on StronglyEntanglingLayers template.[BUG] about pennylane

[trbromley]

Thanks @BenYyyyyy for posting! This does sound like a bug, we'll take a look and get back to you.

Would you be able to share the output of qml.about() or at least qml.version() to help us troubleshoot?

[BenYyyyyy]

Thanks @BenYyyyyy for posting! This does sound like a bug, we'll take a look and get back to you.

Would you be able to share the output of qml.about() or at least qml.version() to help us troubleshoot?

Platform info: Linux-5.14.21-150400.24.81_12.0.75-cray_shasta_c-x86_64-with-glibc2.31
Python version: 3.9.16
Numpy version: 1.23.5
Scipy version: 1.12.0
Installed devices:

• default.gaussian (PennyLane-0.30.0)
• default.mixed (PennyLane-0.30.0)
• default.qubit (PennyLane-0.30.0)
• default.qubit.autograd (PennyLane-0.30.0)
• default.qubit.jax (PennyLane-0.30.0)
• default.qubit.tf (PennyLane-0.30.0)
• default.qubit.torch (PennyLane-0.30.0)
• default.qutrit (PennyLane-0.30.0)
• null.qubit (PennyLane-0.30.0)
• lightning.qubit (PennyLane-Lightning-0.31.0)

[CatalinaAlbornoz]

Thanks for sharing this info @BenYyyyyy . I see that you're not using the latest version of PennyLane. Are you able to update it to v0.36 which is our current version? My colleague David is working on a fix for your bug but you'll need to update PennyLane in order to be able to use it.

You can run pip install pennylane --upgrade