README.md

Quantum Benchmarking via Random Dynamical Quantum Maps ¹

This repository contains the following:

• Jupyter notebook for creating random dynamical maps and executing on IBMQ (data_gen/)
• Raw data from IBMQ (data/counts_kyoto.npy and data/counts_osaka.npy)
• Jupyter notebook for performing noisy simulations using cached data, as well as plotting the results (random_quantum_maps.ipynb)

Install requirements:

pip install -r requirements.txt

Note, we assume CUDA is available for simulation of quantum circuits.

@misc{QuantumBenchmarkingRandom,
  title = {Quantum {{Benchmarking}} via {{Random Dynamical Quantum Maps}}},
  author = {Volya, Daniel and Mishra, Prabhat},
  year = {2024},
  month = apr,
  number = {arXiv:2404.18846},
  eprint = {2404.18846},
  primaryclass = {quant-ph},
  publisher = {arXiv},
  doi = {10.48550/arXiv.2404.18846},
  urldate = {2024-04-30},
}

Footnotes

1. D. Volya and P. Mishra, “Quantum Benchmarking via Random Dynamical Quantum Maps” arXiv, Apr. 29, 2024. doi: 10.48550/arXiv.2404.18846. ↩