Home > Publications database > Discrete-Event Simulation of an Extended Einstein-Podolsky-Rosen-Bohm Experiment > print |
001 | 875355 | ||
005 | 20220930130238.0 | ||
024 | 7 | _ | |a 10.3389/fphy.2020.00160 |2 doi |
024 | 7 | _ | |a 2128/24880 |2 Handle |
024 | 7 | _ | |a altmetric:81881926 |2 altmetric |
024 | 7 | _ | |a WOS:000537081700001 |2 WOS |
037 | _ | _ | |a FZJ-2020-01973 |
082 | _ | _ | |a 530 |
100 | 1 | _ | |a De Raedt, Hans |0 P:(DE-Juel1)179169 |b 0 |e Corresponding author |u fzj |
245 | _ | _ | |a Discrete-Event Simulation of an Extended Einstein-Podolsky-Rosen-Bohm Experiment |
260 | _ | _ | |a Lausanne |c 2020 |b Frontiers Media |
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 1595507650_4601 |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 We use discrete-event simulation to construct a subquantum model that can reproduce the quantum-theoretical prediction for the statistics of data produced by the Einstein-Podolsky-Rosen-Bohm experiment and an extension thereof. This model satisfies Einstein's criterion of locality and generates data in an event-by-event and cause-and-effect manner. We show that quantum theory can describe the statistics of the simulation data for a certain range of model parameters only. |
536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
536 | _ | _ | |0 G:(DE-Juel1)PHD-NO-GRANT-20170405 |x 1 |c PHD-NO-GRANT-20170405 |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |a Jattana, Manpreet S. |0 P:(DE-Juel1)174485 |b 1 |u fzj |
700 | 1 | _ | |a Willsch, Dennis |0 P:(DE-Juel1)167542 |b 2 |u fzj |
700 | 1 | _ | |a Willsch, Madita |0 P:(DE-Juel1)167543 |b 3 |u fzj |
700 | 1 | _ | |a Jin, Fengping |0 P:(DE-Juel1)144355 |b 4 |u fzj |
700 | 1 | _ | |a Michielsen, Kristel |0 P:(DE-Juel1)138295 |b 5 |u fzj |
773 | _ | _ | |a 10.3389/fphy.2020.00160 |g Vol. 8, p. 160 |0 PERI:(DE-600)2721033-9 |p 160 |t Frontiers in physics |v 8 |y 2020 |x 2296-424X |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/875355/files/2020-0252053-3.pdf |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/875355/files/2020-0252053-3.pdf?subformat=pdfa |x pdfa |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/875355/files/fphy-08-00160.pdf |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/875355/files/fphy-08-00160.pdf?subformat=pdfa |x pdfa |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:875355 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)179169 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)174485 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)167542 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)167543 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)144355 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)138295 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
914 | 1 | _ | |y 2020 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
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 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
980 | _ | _ | |a APC |
980 | _ | _ | |a UNRESTRICTED |
980 | 1 | _ | |a APC |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|