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Title:Accuracy and performance evaluation of quantum, classical and hybrid solvers for the Max-Cut problem
Authors:ID Vodeb, Jaka, Institut "Jožef Stefan" (Author)
ID Eržen, Vid (Author)
ID Hrga, Timotej (Author)
ID Povh, Janez (Author)
Files:URL URL - Source URL, visit https://link.springer.com/article/10.1007/s11128-026-05263-5
 
.pdf PDF - Presentation file, download (325,02 KB)
MD5: DC8ADAED81E5519BE3D6CA92DED2743D
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:This paper benchmarks quantum, classical, and hybrid solvers on NP-hard Max-Cut and QUBO problems, emphasizing solution quality relative to known global optima. We evaluate D-Wave’s fast annealing QPU and Hybrid solver against classical simulated annealing (SA) and Toshiba’s simulated bifurcation machine (SBM) using 139 Max-Cut instances (100 to 10,000 nodes). For small instances ( 250 nodes) with known global optima, Hybrid and SA consistently achieve optimal solutions, outperforming the QPU. For larger instances, SBM and slower SA yield superior solutions, while Hybrid and faster SA perform less effectively. Computation time varies across solvers.
Keywords:Max-Cut, QUBO, quantum annealing, simulated annealing
Publication status:Published
Publication version:Version of Record
Submitted for review:08.05.2025
Article acceptance date:15.06.2026
Publication date:03.07.2026
Publisher:Springer Nature
Year of publishing:2026
Number of pages:1-24 str.
Numbering:Vol. 25, article number 240
PID:20.500.12556/DiRROS-31508 New window
UDC:53
ISSN on article:1573-1332
DOI:10.1007/s11128-026-05263-5 New window
COBISS.SI-ID:284944387 New window
Copyright:© The Author(s) 2026
Note:Nasl. z nasl. zaslona; Opis vira z dne 15. 7. 2026;
Publication date in DiRROS:04.08.2026
Views:41
Downloads:25
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Record is a part of a journal

Title:Quantum information processing
Publisher:Kluwer
ISSN:1573-1332
COBISS.SI-ID:513235481 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:L1-60136-2025
Name:Kvantni reševalnik za težke binarne kvadratične probleme (QBIQ)

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0040-2022
Name:Neravnovesna dinamika kvantnih sistemov

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0416-2022
Name:Fizika kvantnih tehnologij

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:DIGITOP- RRI
Name:Digitalna transformacija robotiziranih tovarn prihodnosti
Acronym:DIGITOP

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:PR-08333
Name:Young researcher grant

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:03.07.2026
Applies to:VoR

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