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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

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The work is done in QAMP23 (qiskit-advocate/qamp-spring-23#3)

Signed-off-by: Shivani Rajput<shivanirajput1880@gmail.com>
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CLAassistant commented Jul 12, 2023

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@adekusar-drl adekusar-drl added the on hold 🛑 Can not fix yet label Aug 30, 2023
@woodsp-ibm woodsp-ibm changed the title Implement Date-reuploading classifier in Qiskit Machine Learning Implement Data-reuploading classifier in Qiskit Machine Learning Nov 2, 2023
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The notebook needs to be updated for the unit tests:

  • Check spelling
  • Update outdated libraries

@edoaltamura edoaltamura added the type: enhancement ✨ Features or aspects to improve label Apr 3, 2024
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