Ju-Young Ryu1,2, Eyuel Elala1,2, June-Koo Kevin Rhee1,2

  • 1School of Electrical Engineering & ITRC of Quantum Computing for AI, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.

PubMed
概括

量子图形神经网络 (QGNNs) 显示出对预测分子性质的承诺,实现比经典模型更低的测试损失和更快的训练. 这项研究探讨了材料科学应用中的QGNN.

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