001     1046982
005     20251007202036.0
024 7 _ |a 10.1103/PhysRevResearch.7.023165
|2 doi
024 7 _ |a 10.34734/FZJ-2025-04050
|2 datacite_doi
037 _ _ |a FZJ-2025-04050
041 _ _ |a English
082 _ _ |a 530
100 1 _ |a Müller, Thorge
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a Limitations of quantum approximate optimization in solving generic higher-order constraint-satisfaction problems
260 _ _ |a College Park, MD
|c 2025
|b APS
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1759845158_10319
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The ability of the quantum approximate optimization algorithm (QAOA) to deliver a quantum advantage on combinatorial optimization problems is still unclear. Recently, a scaling advantage over a classical solver was postulated to exist for random 8-SAT at the satisfiability threshold. At the same time, the viability of quantum error mitigation for deep circuits on near-term devices has been put into doubt. Here we analyze the QAOA's performance on random Max-𝑘⁢XORas a function of 𝑘and the clause-to-variable ratio. As a classical benchmark, we use the mean-field approximate optimization algorithm and find that it performs better than or equal to the QAOA on average. Still, for large 𝑘and numbers of layers 𝑝, there may remain a window of opportunity for the QAOA. However, by extrapolating our numerical results, we find that reaching high levels of satisfaction would require extremely large 𝑝, which must be considered rather difficult both in the variational context and on near-term devices.
536 _ _ |a 5214 - Quantum State Preparation and Control (POF4-521)
|0 G:(DE-HGF)POF4-5214
|c POF4-521
|f POF IV
|x 0
536 _ _ |a BMBF 13N16149 - QSolid - Quantencomputer im Festkörper (BMBF-13N16149)
|0 G:(DE-Juel1)BMBF-13N16149
|c BMBF-13N16149
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Singh, Ajainderpal
|0 P:(DE-Juel1)200194
|b 1
700 1 _ |a Wilhelm, Frank K.
|0 P:(DE-Juel1)184630
|b 2
700 1 _ |a Bode, Tim
|0 P:(DE-Juel1)195623
|b 3
773 _ _ |a 10.1103/PhysRevResearch.7.023165
|g Vol. 7, no. 2, p. 023165
|0 PERI:(DE-600)3004165-X
|n 2
|p 023165
|t Physical review research
|v 7
|y 2025
|x 2643-1564
856 4 _ |u https://juser.fz-juelich.de/record/1046982/files/PhysRevResearch.7.023165.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1046982
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)184630
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)195623
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-521
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Materials
|9 G:(DE-HGF)POF4-5214
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-02-07T08:08:02Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-02-07T08:08:02Z
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2024-02-07T08:08:02Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-02
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-12-20200716
|k PGI-12
|l Quantum Computing Analytics
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)PGI-12-20200716
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21