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Updated: Sep 13, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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一个高效的智能运输系统,用于使用超时的超模的量子图形神经网络进行流量预测

Manikandan Rajagopal1, Ramkumar Sivasakthivel1, G Anitha2

  • 1Christ University, Bangalore, Karnataka, India.

Scientific reports
|July 28, 2025
PubMed
概括

本研究介绍了超时过波量子图神经网络 (MTH-QGNN),用于智能运输系统 (ITS) 中的高级流量预测. 这种新型模型显著提高了城市环境中的实时交通预测准确性和效率.

关键词:
图形神经网络 (GNN) 是一个神经网络.过度图形嵌入式 过度图形嵌入式智能运输系统 (ITS) 是一种智能运输系统.超级学习 (Meta-learning) 是一种学习方式.神经的ODE是神经的ODE.量子计算是一种量子计算.交通流量预测和预测

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