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Update app.py
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app.py
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@@ -200,7 +200,7 @@ with gr.Blocks(title="QSBench Unified Explorer", theme=gr.themes.Soft()) as demo
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QSBench is a collection of high-quality synthetic datasets designed for **Quantum Machine Learning** research.
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It provides paired ideal/noisy data, structural circuit metrics, and transpilation metadata.
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🔗 [Website](https://qsbench.github.io) | 🤗 [Hugging Face](https://huggingface.co/QSBench) | 🛠️ [GitHub](https://github.com/QSBench)
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"""
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)
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QSBench is a collection of high-quality synthetic datasets designed for **Quantum Machine Learning** research.
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It provides paired ideal/noisy data, structural circuit metrics, and transpilation metadata.
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🔗 [Website](https://qsbench.github.io) | 🤗 [Hugging Face](https://huggingface.co/QSBench) | 🛠️ [GitHub](https://github.com/QSBench/QSBench-Demo)
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"""
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)
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