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Variational Learning of Compressed and Error-Mitigated Quantum States of Classical Data

This repository contains the implementation of the state preparation method described in the article "Variational Learning of Compressed and Error-Mitigated Quantum States of Classical Data". It also includes a test suite to assess the reproducibility of the results presented in the corresponding paper.

Installation

To use this code, you need to have Python 3 installed. You can install the required dependencies by running the following command:

conda create --name var_learning_ceqc --file requirements.txt

Then, you can run the test suit:

python3 ./launch_tests.py

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