rigetti/qcs-paper
Binder repository of supplementary interactive notebooks for the QCS paper.
repo name | rigetti/qcs-paper |
repo link | https://github.com/rigetti/qcs-paper |
homepage | |
language | Jupyter Notebook |
size (curr.) | 12069 kB |
stars (curr.) | 12 |
created | 2020-01-13 |
license | Apache License 2.0 |
Supplementary interactive notebooks for the QCS paper
Binder repository for the code and datasets that underpin the results in the paper
A quantum-classical cloud platform optimized for variational hybrid algorithms
by Peter J. Karalekas, Nikolas A. Tezak, Eric C. Peterson,
Colm A. Ryan, Marcus P. da Silva, and Robert S. Smith.
The notebooks
directory contains Jupyter notebooks that reproduce all of the analysis
and plotting for the paper, using the data in the notebooks/datasets
directory. All the
resulting plots and figures are in the figures
directory. To run the notebooks in a
preconfigured environment on Binder, click here or the badge above!
Alternatively, you can run the image locally with the following command (replacing PORT
with the localhost
port you’d like to run the notebook server on):
docker run -p PORT:8888 rigetti/qcs-paper
This will start the container, and somewhere in the terminal output it will print a URL that
looks something like the following, but with TOKEN
replaced with a long string of letters
and numbers:
http://127.0.0.1:8888/?token=TOKEN
Copy paste the above URL into your browser, replacing 8888 with PORT
. This will bring up the
JupyterLab interface.
Docker Configuration
This Binder repository is built using the rigetti/forest-notebook
Docker
image, which comes with pyQuil installed, quilc and QVM servers running
in the background, and additional Python packages for data analysis and visualization. To learn
more, check out the rigetti/forest-notebook repository!
Paper Citation
The preprint of our paper on Quantum Cloud Services (QCS) is available on the arXiv. Additionally, it was published here in IOP’s Quantum Science & Technology journal, as part of the Focus on Quantum Software special issue. To cite our paper, please use the following BibTeX snippet:
@article{Karalekas_2020,
title = {A quantum-classical cloud platform optimized for variational hybrid algorithms},
author = {Peter J Karalekas and Nikolas A Tezak and Eric C Peterson
and Colm A Ryan and Marcus P da Silva and Robert S Smith},
year = 2020,
month = {apr},
publisher = {{IOP} Publishing},
journal = {Quantum Science and Technology},
volume = {5},
number = {2},
pages = {024003},
doi = {10.1088/2058-9565/ab7559},
url = {https://doi.org/10.1088%2F2058-9565%2Fab7559},
}