Dynamic LOCC Circuits for Automated Entanglement Manipulation

---

This repository contains the official QuAIRKit implementation of the DLOCCNet framework.

DLOCCNet is a general and flexible framework to design and optimize LOCC protocols.

Installation

---

The minimum Python environment for QuAIRKit is 3.9. We recommend installing QuAIRKit with Python 3.10.

conda create -n quair python=3.10
conda activate quair
conda install jupyter notebook

We recommend the following way of installing QuAIRKit with pip,

pip install quairkit

Citation

Article

@article{liu2025dynamic,
  title={Dynamic LOCC Circuits for Automated Entanglement Manipulation},
  author={Liu, Xia and Zhao, Jiayi and Zhao, Benchi and Wang, Xin},
  journal={arXiv preprint arXiv:2509.07841},
  year={2025}
}

Simulation Platform

@misc{quairkit,
  author = {QuAIR team},
  title = {{QuAIRKit}},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/QuAIR/QuAIRKit}}
}