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**Describe the bug**
Simulations with high order QNN Pennylane derivatives with shots (dfdxdp, dfdxdx, dfdxdop) give different results when comparing to qiskit_shots, qiskit_statevector and penylan…
rupof updated
2 months ago
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### Expected behavior
Hi,
I was testing another issue that required `work_wires` when I found that there are some quantum programs that will not be able to be `jax.jit`ed when using `work_wires` e…
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The issue was also present in the 23.06 container as well.
## Example to reproduce error:
```
cuquantum-benchmarks circuit --frontend pennylane --backend pennylane-lightning-gpu --benchmark qao…
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### Expected behavior
I expect the code below to work with both lightning.qubit and default.qubit for any differentiation method. However qml.metric_tensor is failing for the cases outlined in the ta…
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**Describe the bug**
Hi,
I am working on [Catalyst](https://github.com/PennyLaneAI/catalyst/) which is JIT compiler for PennyLane. [We have an integration with Amazon Braket](https://pennylane.ai/…
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Following our list of task priorities, we also need to develop a `Pennylane` plugin in order to connect it directly with `qc2Data` and `QCSchema` and `FCIDump` data schema without having to rely on `…
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In the code bellow, the the first circuit is executed, but the second one isn't. The only difference is the requires_grad.
```python
import pennylane as qml
from matchcake import NonInteractingFe…
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Hey! It's Guillermo, I will be in charge of the integration and review process of your demo. Thanks for waiting 🙂
I was wondering if you could do a PR to the qml repo with the demo integration. Thi…
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especially the sequential optimal paper
- [ ] ostaszewski paper (focus on rotosolve and think about rotoselect as related and future work considering CRP gate selection)
- [ ] generalized paramete…
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Wondering if the forest plugin is still supported? I have installed the pennylane-forest plugin and trying to run the following code:
```
dev = qml.device("forest.qvm", device="4q-qvm")
@qml…