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#### Issue description
I am trying to run some experiments with Variational Quantum Circuits.
Curiously training seems to be consistently **slower** when done on GPU, irrelevant of the used back…
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### Expected behavior
`qml.matrix` should respect the framework-specific tensors used to construct the `qml.Hamiltonian`, and return the matrix representation of that Hamiltonian in the same framewor…
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### Expected behavior
The two-qubit decomposition for qml.QubitUnitary should be valid upto a high-precision.
### Actual behavior
The two-qubit decomposition for qml.QubitUnitary is only valid upto…
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### Description
Aim of our project is to build hands-on tutorials for implementing quantum machine learning algorithms with real world data sets using Qiskit. This tutorial should give learners a tas…
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### Repository commit
46379861257d43bb7140d261094bf17dc414950f
### Python version (python --version)
Python 3.11.3
### Dependencies version (pip freeze)
absl-py==1.4.0
astunparse==1.6.3
beautif…
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# Description
The project is concerned with integrating quantum machine learning with quantum simulation to develop new models applicable to the quantum chemistry domain.
The First phase of the p…
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**Describe the bug**
When I run `!pip install pennylane-qiskit` in a new notebook it says the plugin is successfully installed. However when I run "qml.about()" none of the qiskit devices are install…
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### Team Name:
my\_favourite\_team
### Project Description:
In this Qhack 2022 Open Hackathon, we propose to re-implement concepts related to asynchronous Quantum Computing, also framed as En…
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### Expected behavior
This code should terminate with a result:
```
dev = qml.device('default.qubit.jax', wires=2, shots=10)
@jax.jit
@qml.qnode(dev, interface='jax')
def circ(x):
qml.P…
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### What is the expected enhancement?
I found that when I built custom data encoding methods in parameterized quantum circuit, we cannot use parameter instance(;qiskit.circuit.Parameter) at the qis…