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# Intro
First off, thanks _very_ much for this great plugin, it's really exciting.
I've run into a bug when trying to use the latest versions. Because [`requirements.txt`](https://github.com/Pen…
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Type: Bug
I ran extension bisect to figure out which extension was causing trouble with the performance of VS Code on my machine. Extension Bisect led to detecting vscode-python (and associated ext…
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### Expected behavior
Both lines should return the same values:
```pycon
>>> qml.adjoint(qml.RX(1, 0)).eigvals()
array([0.87758256+0.47942554j, 0.87758256-0.47942554j])
>>> qml.RX(1, 0).adjoint()…
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### Feature details
It should be possible to support operations with arbitrary `grad_recipes` in `param_shift_hessian()` by computing the applicable grad recipe for each entry in the hessian from the…
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#### Issue description
Unable to use pre-compiled binaries for lightning.qubit. …
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The following example fails compilation:
```py
import pennylane as qml
from catalyst import grad, qjit
@qml.qnode(qml.device("lightning.qubit", wires=1))
def func(p: float):
x = qml.prob…
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## Expected Behavior
I'm trying to apply a channel to a state, but the channel is not preserving the trace. Could I be using the functions incorrectly or is there a bug? Thanks.
```
from toqito…
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### Expected behavior
The following code returns the matrix:
```pycon
>>> qml.RX([1, 2, 3], wires=0).matrix()
tensor([[[0.87758256+0.j , 0. -0.47942554j],
[0. -0.4…
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### Expected behavior
The Identity operator should apply to all specified wires.
```pycon
>>> num_wires = 3
>>> ham = 2.0 * qml.Identity(wires=range(num_wires))
>>> ham
>>> ham.coeffs, ham.o…