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Updated: Mar 4, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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迈向量子意识的机器学习:通过复杂的估值神经网络,通过复杂的估值神经网络,更好地预测量子消散动力学

Muhammad Atif1, Arif Ullah1, Ming Yang1

  • 1School of Physics, Anhui University, Hefei 230601, Anhui, China.

The Journal of chemical physics
|March 2, 2026
PubMed
概括

复杂值神经网络 (CVNNs) 为模拟量子系统提供了一种与物理学一致的机器学习方法. 在学习量子消散动力学方面,CVNN在准确性和稳定性方面优于实值模型.

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