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README.md

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@@ -37,7 +37,7 @@ TensorCircuit is built on top of modern machine learning frameworks: Jax, Tensor
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Please begin with [Quick Start](/docs/source/quickstart.rst) in the [full documentation](https://tensorcircuit.readthedocs.io/).
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For more information on software usage, sota algorithm implementation and engineer paradigm demonstration, please refer to 60+ [example scripts](/examples) and 30+ [tutorial notebooks](https://tensorcircuit.readthedocs.io/en/latest/#tutorials). API docstrings and test cases in [tests](/tests) are also informative.
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For more information on software usage, sota algorithm implementation and engineer paradigm demonstration, please refer to 70+ [example scripts](/examples) and 30+ [tutorial notebooks](https://tensorcircuit.readthedocs.io/en/latest/#tutorials). API docstrings and test cases in [tests](/tests) are also informative.
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The following are some minimal demos.
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- GSQAS: Graph Self-supervised Quantum Architecture Search: https://arxiv.org/abs/2303.12381.
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- Practical advantage of quantum machine learning in ghost imaging: https://www.nature.com/articles/s42005-023-01290-1 (published in communications physics).
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- Practical advantage of quantum machine learning in ghost imaging: https://www.nature.com/articles/s42005-023-01290-1 (published in Communications Physics).
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</details>
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README_cn.md

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@@ -35,7 +35,7 @@ TensorCircuit 现在支持真实量子硬件连接和实验,并提供优雅的
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请从 [完整文档](https://tensorcircuit.readthedocs.io/zh/latest/) 中的 [快速上手](/docs/source/quickstart.rst) 开始。
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有关软件用法,算法实现和工程范式演示的更多信息和介绍,请参阅 60+ [示例脚本](/examples) 和 30+ [案例教程](https://tensorcircuit.readthedocs.io/zh/latest/#tutorials)[测试](/tests) 用例和 API docstring 也提供了丰富的使用信息。
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有关软件用法,算法实现和工程范式演示的更多信息和介绍,请参阅 70+ [示例脚本](/examples) 和 30+ [案例教程](https://tensorcircuit.readthedocs.io/zh/latest/#tutorials)[测试](/tests) 用例和 API docstring 也提供了丰富的使用信息。
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以下是一些最简易的演示。
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