| 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). |