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Gradient-descent for Quantum State Tomography

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Quantum state tomography with gradient descent

This repository contains the code required to reproduce the plots from https://arxiv.org/abs/2503.04526

Installation and use

Install the environment.yml or you can install the libraries by yourself, but be careful with the version of QuTip, in our case we are using qutip==5.0.0a2

conda env create -f environment.yml
conda activate gd_qst_env

The notebooks in the examples folder are tutorials on how to do the quantum state tomography with the different methods of gradient descent.

The data_and_paper-plots folder contains a Jupyter Notebook (.ipynb) that runs the methods used to generate the plots presented in the paper, along with a ZIP file containing the corresponding data.

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  • Jupyter Notebook 95.7%
  • Python 4.3%