The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size

Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Leo Zhou

Open source

DOI
10.22331/q-2022-07-07-759
Published
2022-07-07
Container
Quantum
Publisher
Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.22331/q-2022-07-07-759,
  title = {The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size},
  author = {Edward Farhi and Jeffrey Goldstone and Sam Gutmann and Leo Zhou},
  year = {2022},
  journal = {Quantum},
  doi = {10.22331/q-2022-07-07-759},
  url = {https://doi.org/10.22331/q-2022-07-07-759}
}

RIS

TY  - JOUR
TI  - The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size
AU  - Edward Farhi
AU  - Jeffrey Goldstone
AU  - Sam Gutmann
AU  - Leo Zhou
PY  - 2022
JO  - Quantum
DO  - 10.22331/q-2022-07-07-759
UR  - https://doi.org/10.22331/q-2022-07-07-759
ER  - 

APA

Farhi, E., Goldstone, J., Gutmann, S., & Zhou, L. (2022). The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size. Quantum. https://doi.org/10.22331/q-2022-07-07-759

Source records