Implement Data-reuploading classifier in Qiskit Machine Learning #668
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Description
Data re-uploading is a recently proposed idea of quantum neural network, which uses a quantum circuit with a series of data re-uploading and processing layers. Unlike the conventional quantum circuit of quantum neural network, it has multiple layers of re-uploading input data. In this project, we will implement the data re-uploading quantum neural network in Qiskit Machine Learning. The goal of this project is to write code and create a pull request
Details and comments
The work is done in QAMP23 (qiskit-advocate/qamp-spring-23#3)