Installation of required libraries

install -r requirements.txt

Usage

This repository is divided into two main folders of the static and robust noise models

Folders and files:

• Each folder has the images to be recreated in the article.
• Has a sim.py file to produce the dataset or images.
• And a plot.py file to recreate the exact figures with the dataset used.

Aditional:

• IBM Sherbrooke 127-qubit calibration data is necessary and is presented in a .csv file.

gen==0.1
matplotlib==3.5.2
numpy==2.2.1
PyMatching==2.1.0
pytest==7.4.2
qiskit==1.2.4
qiskit_aer==0.15.1
qiskit_ibmq_provider==0.19.2
qiskit_ignis==0.7.1
qiskit_terra==0.25.2.1
scipy==1.15.0
sinter==1.12.1
stim==1.12.1
qiskit_terra==0.22.3

We conduct a feasibility analysis of employing logical Bell states in quantum memories for quantum networks. Specifically, we determine the break-even and pseudo-thresholds for Surface and Bacon-Shor codes, focusing on codes of distance (d=3) and (d=5). To generate the logical Bell states, we utilize lattice surgery and introduce two memory assisted protocols: one employing local generation and the other utilizing non-local generation.

If you use this work, please cite the following paper:

@article{rsrk-c7yg,
   title={Feasibility of logical Bell state generation in memory assisted quantum networks},
   author={Galetsky, Vladlen and Vyas, Nilesh and Comin, Alberto and Nötzel, Janis},
   journal={Phys. Rev. Res.},
   volume={7},
   issue={3},
   pages={033090},
   numpages={14},
   year={2025},
   month={Jul},
   publisher={American Physical Society},
   doi={10.1103/rsrk-c7yg},
   url={https://link.aps.org/doi/10.1103/rsrk-c7yg}
}