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...
主要な著者: | , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2024-11-01
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シリーズ: | Entropy |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/1099-4300/26/11/987 |