We develop a customizable graphical front end for a kubeflow pipeline specifically on quantum neural network (QNN)computation. It is based on the Node-red tool set. The flow consists of data loading, data pre-process, QNN setting and deployment modules. Each module node is generated on the menu panel ready for users to drag to the canvas for construction of a control pipeline for the kubeflow pipeline exuction. Complete code set and example use cases are illustruated in the following site:
https://github.com/sefgsefg/Qnn-on-kubeflow-with-Node-red/tree/main
We develop a customizable graphical front end for a kubeflow pipeline specifically on quantum neural network (QNN)computation. It is based on the Node-red tool set. The flow consists of data loading, data pre-process, QNN setting and deployment modules. Each module node is generated on the menu panel ready for users to drag to the canvas for construction of a control pipeline for the kubeflow pipeline exuction. Complete code set and example use cases are illustruated in the following site:
https://github.com/sefgsefg/Qnn-on-kubeflow-with-Node-red/tree/main