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---
license: apache-2.0
tags:
- physics
- diffusion-model
- quantum-information
- quantum-circuits
- genQC
pipeline_tag: other
library_name: genQC
---
# Compile discrete-continuous quantum circuits 3 to 5 qubits
Paper: ["Synthesis of discrete-continuous quantum circuits with multimodal diffusion models"](https://www.arxiv.org/abs/2506.01666).
Project page: https://florianfuerrutter.github.io/genQC/
## Key Features and limitations
- Unitary compilation from **3 to 5 qubits**
- Quantum circuits up to **32 gates**
- Training details in the [\\[paper-arxiv\\]](https://www.arxiv.org/abs/2506.01666)
## Usage
The pre-trained model pipeline can be loaded with [`genQC`](https://github.com/FlorianFuerrutter/genQC). First install or upgrade [`genQC`](https://github.com/FlorianFuerrutter/genQC) using
``` sh
pip install -U genQC
```
Guides on how to use this model can be found in the [\\[tutorials\\]](https://florianfuerrutter.github.io/genQC/examples/tutorials.html) on the GitHub repository of [`genQC`](https://github.com/FlorianFuerrutter/genQC).
## License
The model weights in this repository are licensed under the [Apache License 2.0](https://github.com/FlorianFuerrutter/genQC/blob/main/LICENSE.txt). |