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### Expected behavior
We are simulating QAOA on an NVIDIA DGX system.
Since the new pennylane version (v0.22) supports cuQuantum using the "lightning.gpu" device, we want to use it for potential sp…
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[`qml.utils.unflatten(flat, model)`](https://github.com/PennyLaneAI/pennylane/blob/88be620a04a802380d07dbdd84acb48a8f245fe6/pennylane/utils.py#L168) takes a flattened object `flat` and returns it to …
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### Feature details
It appears that PennyLane defines the [GlobalPhase](https://docs.pennylane.ai/en/stable/code/api/pennylane.GlobalPhase.html) operator as `e^-ix`, with a negative sign in front of …
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### Expected behavior
`qml.transforms.qcut.fragment_graph(graph)` does not work for quantum tapes which compute the expectation values of Hamiltonians with more than one term. When applied to a tap…
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### Expected behavior
In the following QNode, we have two arguments:
```python
dev = qml.device("default.qubit", wires=4)
@qml.qnode(dev, interface="torch")
def circuit(x, y):
qml.Rot(*x[0…
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### Feature details
As of https://github.com/Qiskit/rustworkx/pull/644, `retworkx` has been renamed to `rustworkx`. At some point should update our dependencies to point to the new package on PyPI (a…
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### Team Name:
Pratjz
### Project Description:
In this project, we will use Quantum Neural Network along with classical layers to create Hybrid Neural network using Pennylane & Tensorflow &…
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**Context**
PennyLane allows a single state preparation to be included in a quantum function. Any state preparation that is not the first in the circuit, will raise a `DeviceError`.
```python
i…
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#1076 is introducing in qibo a way for simulating clifford circuits efficiently, several improvements can still be introduced on top of that though:
- [x] Currently the ``CliffordBackend`` is backend…
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### Team Name:
cyx
### Project Description:
Portfolio optimization is one of the most popular topics in the area of finance. The goal of it is to find the optimal combination of different a…