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Quantum Approximate Optimization Algorithm in Python

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/pyQAOA
https://doi.org/10.11578/dc.20201103.2

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Abstract

This is software in Python that simulates the quantum approximate optimization algorithm (QAOA) as described in https://arxiv.org/abs/1411.4028. The software has customization that speeds up simulation and provides interface to the Rapid Optimization Library (ROL) developed at Sandia. SAND2019-8935 M Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
von Winckel, Gregory [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Release Date:
2020-01-21
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
46510
Site Accession Number:
SCR#2404.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/pyQAOA
https://doi.org/10.11578/dc.20201103.2

SAVE / SHARE



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Citation Formats

von Winckel, Gregory. Quantum Approximate Optimization Algorithm in Python. Computer Software. https://github.com/sandialabs/pyQAOA. USDOE. 21 Jan. 2020. Web. doi:10.11578/dc.20201103.2.
von Winckel, Gregory. (2020, January 21). Quantum Approximate Optimization Algorithm in Python. [Computer software]. https://github.com/sandialabs/pyQAOA. https://doi.org/10.11578/dc.20201103.2.
von Winckel, Gregory. "Quantum Approximate Optimization Algorithm in Python." Computer software. January 21, 2020. https://github.com/sandialabs/pyQAOA. https://doi.org/10.11578/dc.20201103.2.
@misc{ doecode_46510,
title = {Quantum Approximate Optimization Algorithm in Python},
author = {von Winckel, Gregory},
abstractNote = {This is software in Python that simulates the quantum approximate optimization algorithm (QAOA) as described in https://arxiv.org/abs/1411.4028. The software has customization that speeds up simulation and provides interface to the Rapid Optimization Library (ROL) developed at Sandia. SAND2019-8935 M Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20201103.2},
url = {https://doi.org/10.11578/dc.20201103.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201103.2}},
year = {2020},
month = {jan}
}