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**Describe the bug**
The link to the AllSinglesDoubles Pennylane documentation in the "Defining an ansatz circuit" section of the amazon-braket-examples/examples/pennylane/3_Hydrogen_Molecule_geometr…
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Hello,
I have implemented a multi qubit controlled gate using the qml.ctrl method. Specifically, It is a parameterized 3 qubit gate controlled on 6 other qubits in a 9 qubit circuit. It seems to ta…
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### Expected behavior
We (with @Belaloui, @abduhu, @Taha-Rouabah) have been learning about error mitigation like ZNE since few days. And, thus, we have been using the `qml.transforms.fold_global` met…
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### Expected behavior
Works with regular/pennylane numpy
```python
p = np.array(1.)
op = qml.s_prod(p, qml.QubitUnitary([[0., 1.], [0., 0.]], wires=0))
>>> qml.matrix(op)
tensor([[0., 1.],
…
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### Expected behavior
The transform `metric_tensor` respects the `qml.adjoint` transform.
### Actual behavior
In the following example, the `adjoint` of one particular operation in the circuit is r…
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The following simple program doesn't work, if the type is `jnp.complex128`, but works with `float64`. Should we support complex scalars as well?
``` python
from catalyst import qjit
from jax.nump…
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### Expected behavior
This issue refers to the [Intro to QAOA](https://pennylane.ai/qml/demos/tutorial_qaoa_intro.html).
Since I gather that you are _minimizing_ the cost function, it seems that…
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Consider the following program running Catalyst `0.1.0` and PennyLane `0.28`:
``` python
import pennylane as qml
import jax.numpy as jnp
from catalyst import qjit
@qjit
def workflow(params):…
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### Expected behavior
I create a Hamiltonian in this way:
```
import pennylane as qml
from pennylane import numpy as np
symbols = ["H", "H"]
coordinates = np.array([0.0, 0.0, -0.6614, 0.0, 0.0…
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Right now, we have a function [`qml.utils.sparse_hamiltonian`](https://github.com/PennyLaneAI/pennylane/blob/cf195af015a7ee9098c74e42da90d9f709dfe1c5/pennylane/utils.py#L111) responsible for construct…