以VQE的优化过程为线索,可视化优化的轨迹和参数空间(PCA降维)。基于MindQuantum构建。
两个横轴分别是PCA出来的两个主成分,纵轴则为loss函数值。
生成的是GIF图像。
在你喜欢的虚拟环境中运行:
bash mkdir.sh
pip install -r requirements.txt
然后运行:
python sample_lih_uccsd.py
即可生成lih的优化轨迹图。
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