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#quant-ph · 3 条相关内容
论文精选 60已解读

Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography· 参数化图论与张量网络

Parameterised graph theory studies how the complexity of graph-theoretic problems depends …

AI 解读参数化图论在张量网络中的应用，优化状态表示与学习复杂度
领域：quant-ph作者：Matthias C. Caro、Natalie McHugh、Sergii Strelchuk
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📎 arXiv🕒 09-04 01:50🔗 arxiv.org
论文精选 61已解读

Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks· 针对量子神经网络的输入感知动态后门攻击

Quantum Neural Networks (QNNs) are a promising framework for quantum machine learning on n…

AI 解读针对量子神经网络提出首例输入感知动态后门攻击模型Q-DIBA。
领域：quant-ph作者：Junrui Zhang、Zemin Chen、Lusi Li
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📎 arXiv🕒 07-14 01:34🔗 arxiv.org