Quantum AI pipeline examples

We implement a quantum AI pipeline under Node-red front end control. Quantum AI features a parallel calculation capability which can expedite the AI training process for many industrial applications. However, its setup process is inherent complicated. Generally, It not only requires conversion to/from traditional data to quantum data, but also the design of complex quantum circuit. We wrap the whole procesures into a kubeflow pipeline, and show the control flow can be run on a Node-red GUI front end. The test case runs a mnist data set CNN classification application and the accuracy can reach a %96 high with short one half training time compared to traditional AI. We are seting up the PR and will have a local repository for all the code and readme file illustrating the complete processes.

Start by reviewing the issue description's proposed Kubeflow pipeline, Node-red GUI control flow, and MNIST CNN example. The issue does not name files, tests, or an entry point; completion would require the promised repository code and README to document and demonstrate the complete process.

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