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Reusability report : Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules. / Wauters, Matteo M.; van Nieuwenburg, Evert.
I:
Nature Machine Intelligence, Bind 4, 06.10.2022, s. 810-813.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
Wauters, MM & van Nieuwenburg, E 2022, '
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules',
Nature Machine Intelligence, bind 4, s. 810-813.
https://doi.org/10.1038/s42256-022-00535-yAPA
Wauters, M. M., & van Nieuwenburg, E. (2022).
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules.
Nature Machine Intelligence,
4, 810-813.
https://doi.org/10.1038/s42256-022-00535-yVancouver
Wauters MM, van Nieuwenburg E.
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules.
Nature Machine Intelligence. 2022 okt. 6;4:810-813.
https://doi.org/10.1038/s42256-022-00535-yAuthor
Wauters, Matteo M. ; van Nieuwenburg, Evert. / Reusability report : Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules. I: Nature Machine Intelligence. 2022 ; Bind 4. s. 810-813.
Bibtex
@article{f375dd6d32904c009b504cd247a623e1,
title = "Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules",
keywords = "GO",
author = "Wauters, {Matteo M.} and {van Nieuwenburg}, Evert",
year = "2022",
month = oct,
day = "6",
doi = "10.1038/s42256-022-00535-y",
language = "English",
volume = "4",
pages = "810--813",
journal = "Nature Machine Intelligence",
issn = "2522-5839",
publisher = "Springer",
}
RIS
TY - JOUR
T1 - Reusability report
T2 - Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules
AU - Wauters, Matteo M.
AU - van Nieuwenburg, Evert
PY - 2022/10/6
Y1 - 2022/10/6
KW - GO
U2 - 10.1038/s42256-022-00535-y
DO - 10.1038/s42256-022-00535-y
M3 - Journal article
VL - 4
SP - 810
EP - 813
JO - Nature Machine Intelligence
JF - Nature Machine Intelligence
SN - 2522-5839
ER -
