Optimizing ZX-diagrams with deep reinforcement learning
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more. The utility of ZX-diagrams relies on a set of local transformation rules that can be appl...
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| Principais autores: | , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IOP Publishing
2024-01-01
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| 叢編: | Machine Learning: Science and Technology |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1088/2632-2153/ad76f7 |
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