Presentation Information
[11a-PA3-2]Predictions of Luminescence Intensity for Eu-Doped Perovskite Oxide Phosphors Using Quantum Circuit Learning
〇Kaisei Isono1, Kazuki Hoshitani1, Makoto Nakamura2, Koichi Kimura2, Tomoyuki Yamamoto1 (1.Waseda Univ., 2.Fujitsu)
Keywords:
Quantum Circuit Learning,Phosphor
A prediction model for the emission intensity of Eu-doped perovskite-structured oxide phosphors using the quantum circuit learning (QCL) was constructed here, which exhibits high extrapolation performance even with small datasets, and its extrapolation performance was compared with those of conventional machine learning methods. QCL showed better accuracy than those with conventional ones, suggesting its effectiveness for prediction of luminescence intensity of highly luminous phosphor materials.