Concurrent spin squeezing and field tracking with machine learning
收藏DataCite Commons2025-04-09 更新2025-05-07 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Concurrent_spin_squeezing_and_field_tracking_with_machine_learning/25625349/1
下载链接
链接失效反馈官方服务：
资源简介：
The dataset contains
Steady_squeezing.zip .a. data for steady squeezing data and characteraztionb. data for pulse rf magnetormeter
Tracking1a. data of OU process for Deep learningb. data of dOU process for Deep learning
Tracking2a. data of white noise process in backaction experimentb. data of white noise process in rearrange experiment
codea. Randomly signal generating codeb.Deep learning codec.data pre-processing code
The network is implemented using the torch 1.13.1 framework and CUDA 11.6 on Python 3.8.8. All weights are initialized with the torch default.
The training process is run on a computer with CPU Intel(R) CoreTM i7-8700 and GPU NVIDIA GeForce RTX 2070 (8G RAM).
Any questions about the codes or dataset are welcomed to the email 20110190074@fudan.edu.cn .
提供机构：
figshare
创建时间：
2025-04-09
