Evaluating probabilistic programming languages for simulating quantum correlations.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2019
2019
Historique:
received:
01
09
2018
accepted:
17
11
2018
entrez:
5
1
2019
pubmed:
5
1
2019
medline:
19
9
2019
Statut:
epublish
Résumé
This article explores how probabilistic programming can be used to simulate quantum correlations in an EPR experimental setting. Probabilistic programs are based on standard probability which cannot produce quantum correlations. In order to address this limitation, a hypergraph formalism was programmed which both expresses the measurement contexts of the EPR experimental design as well as associated constraints. Four contemporary open source probabilistic programming frameworks were used to simulate an EPR experiment in order to shed light on their relative effectiveness from both qualitative and quantitative dimensions. We found that all four probabilistic languages successfully simulated quantum correlations. Detailed analysis revealed that no language was clearly superior across all dimensions, however, the comparison does highlight aspects that can be considered when using probabilistic programs to simulate experiments in quantum physics.
Identifiants
pubmed: 30608937
doi: 10.1371/journal.pone.0208555
pii: PONE-D-18-25673
pmc: PMC6319741
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0208555Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
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