Toward Transparent and Controllable Quantum Generative Models
Quantum generative models have shown promise in fields such as quantum chemistry, materials science, and optimization. However, their practical utility is hindered by a significant challenge: the lack of interpretability. In this work, we introduce <i>model inversion</i> to enhance both...
| Main Authors: | , |
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| 格式: | 文件 |
| 语言: | English |
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MDPI AG
2024-11-01
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| 丛编: | Entropy |
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| 在线阅读: | https://www.mdpi.com/1099-4300/26/11/987 |