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Hi, Eric!
It seems that the documentation can be significantly improved. At some places, there is too much detail which can be made shorter. For example, the [Background ](https://esabo.github.io/C…
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# Abstract
Let's try and explore Hybrid quantum-classical Neural Networks with PyTorch and Qiskit:
https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html
Examples:
…
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_**(submission under construction)**_
### Team Name:
PhaseliciousDeinonyqus
### Project Description:
Typically, variational quantum circuits are parameterized by **classical** parameters…
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Hi,
I wanted to inquire about the availability of the code for training models in Paddle-quantum, specifically related to medical image classification as found in this link: https://github.com/Paddle…
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### Environment
Not relevant.
### What is happening?
The current documentation for the `CXGate` states that its effect is:
$$|a,b\rangle\to|a,a\oplus b\rangle$$
However, this is the effect using t…
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### Environment
- **Qiskit version**: latest
- **Python version**:
- **Operating system**:
### What is happening?
This does not work:
```python
qr = QuantumRegister(2, 'ancilla')
cr = C…
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Protocols = Algorithms with multiple parties + classical and/or quantum communication
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Given a graph with grounds used to represent measurements and classically-conditioned gates, I would like to convert it into a (mixed quantum-classical) circuit preserving the semantics of the grounds…
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We need to create an exported target for qcor. More importantly though, we need to create helper functions to handle the inclusion of qsharp and qasm3 files into a compiled target.
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Project Name:
Error-Mitigated Quantum and Quantum-Inspired Portfolio Optimization
Team Name:
ABOBA
Which challenges would you like to submit your project for?
Visualization challenge
H…