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### Expected behavior
I am trying to use the PyTorch interface to optimize a quantum circuit, and I have narrowed my bug down the the presence of the `PauliRot` gate. As an example, please see the…
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### What should we add?
As part of the Qiskit documentation content restructuring efforts, we are going add how-to guides to Terra. This issue serves as a discussion thread for the content that nee…
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## Issue Description
Mitiq could support directly as one of its frontends quantum circuits in openQASM format. Mitiq already has some conversion functions for openqasm wrt to Qiskit cir…
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The following demos include incorrect ReST, that may result in rendering issues.
## Title underline too short
- `tutorial_adaptive_circuits.rst`
```
Sparse Hamiltonians
-------------
…
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I've ran [this notebook](https://www.tensorflow.org/quantum/tutorials/quantum_reinforcement_learning) with no problem. However, if I try to use `qsim` as a backend by passing the backend `backend = qs…
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### Team Name:
cirKITers
### Project Description:
Nowadays training parameterized quantum circuits is very popular to explore the space of quantum states. This field heavily borrows from ex…
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Hello,
I'm pretty new to TFQ. I have a basic question.
Say I have a set of simple quantum circuits that are my training circuits - T
I want a QNN that consists of two parameterized quantu…
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# Description
While Qiskit is nominally a hardware-agnostic platform for gate-based quantum computing, the current transpiler (which takes an "abstract" quantum circuit to one that can be implemented…
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Over the years, several additional features have been merged into PyZX that have never had documentation written for them. These include:
* CNOT circuit routing, as implemented in the `pyzx.routing` …
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### Team Name:
*Qming*
### Project Description:
The goal of this project is to explore and demonstrate the advantage of hybrid quantum-classical neural network (QCNN) over classical models …