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--- |
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license: apache-2.0 |
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tags: |
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- physics |
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- diffusion-model |
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- quantum-information |
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- quantum-circuits |
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- genQC |
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--- |
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# Compile discrete-continuous quantum circuits 3 to 5 qubits |
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Paper: ["Synthesis of discrete-continuous quantum circuits with multimodal diffusion models"](https://www.arxiv.org/abs/2506.01666). |
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## Key Features and limitations |
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- Unitary compilation from **3 to 5 qubits** |
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- Quantum circuits up to **32 gates** |
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- Training details in the [\[paper-arxiv\]](https://www.arxiv.org/abs/2506.01666) |
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## Usage |
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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 |
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``` sh |
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pip install -U genQC |
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``` |
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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). |
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## License |
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The model weights in this repository are licensed under the [Apache License 2.0](https://github.com/FlorianFuerrutter/genQC/blob/main/LICENSE.txt). |