001     878335
005     20220228143938.0
024 7 _ |a 10.1016/j.aop.2020.168232
|2 doi
024 7 _ |a 0003-4916
|2 ISSN
024 7 _ |a 1096-035X
|2 ISSN
024 7 _ |a 2128/30745
|2 Handle
024 7 _ |a WOS:000551487400011
|2 WOS
037 _ _ |a FZJ-2020-02787
082 _ _ |a 530
100 1 _ |a Schmoll, Philipp
|0 P:(DE-HGF)0
|b 0
245 _ _ |a A programming guide for tensor networks with global S U ( 2 ) symmetry
260 _ _ |a Amsterdam [u.a.]
|c 2020
|b Elsevier
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 1645197855_32637
|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 This paper is a manual with tips and tricks for programming tensor network algorithms with global SU(2) symmetry. We focus on practical details that are many times overlooked when it comes to implementing the basic building blocks of codes, such as useful data structures to store the tensors, practical ways of manipulating them, and adapting typical functions for symmetric tensors. Here we do not restrict ourselves to any specific tensor network method, but keep always in mind that the implementation should scale well for simulations of higher-dimensional systems using, e.g., Projected Entangled Pair States, where tensors with many indices may show up. To this end, the structural tensors (or intertwiners) that arise in the usual decomposition of SU(2)-symmetric tensors are never explicitly stored throughout the simulation. Instead, we store and manipulate the corresponding fusion trees – an algebraic specification of the symmetry constraints on the tensor – in order to implement basic SU(2)-symmetric tensor operations. This fusion tree approach is readily extensible to anyonic systems, as we demonstrate for a chain of Fibonacci anyons.
536 _ _ |a 142 - Controlling Spin-Based Phenomena (POF3-142)
|0 G:(DE-HGF)POF3-142
|c POF3-142
|f POF III
|x 0
536 _ _ |a 522 - Controlling Spin-Based Phenomena (POF3-522)
|0 G:(DE-HGF)POF3-522
|c POF3-522
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef
650 2 7 |a Condensed Matter Physics
|0 V:(DE-MLZ)SciArea-120
|2 V:(DE-HGF)
|x 0
700 1 _ |a Singh, Sukhbinder
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Rizzi, Matteo
|0 P:(DE-Juel1)177780
|b 2
|e Corresponding author
700 1 _ |a Orús, Román
|0 P:(DE-HGF)0
|b 3
773 _ _ |a 10.1016/j.aop.2020.168232
|g Vol. 419, p. 168232 -
|0 PERI:(DE-600)1461336-0
|p 168232
|t Annals of physics
|v 419
|y 2020
|x 0003-4916
856 4 _ |u https://juser.fz-juelich.de/record/878335/files/1809.08180.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:878335
|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)177780
913 1 _ |a DE-HGF
|b Energie
|l Future Information Technology - Fundamentals, Novel Concepts and Energy Efficiency (FIT)
|1 G:(DE-HGF)POF3-140
|0 G:(DE-HGF)POF3-142
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-100
|4 G:(DE-HGF)POF
|v Controlling Spin-Based Phenomena
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Future Information Technology - Fundamentals, Novel Concepts and Energy Efficiency (FIT)
|1 G:(DE-HGF)POF3-520
|0 G:(DE-HGF)POF3-522
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Controlling Spin-Based Phenomena
|x 1
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-07
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-07
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-01-07
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-07
920 1 _ |0 I:(DE-Juel1)PGI-8-20190808
|k PGI-8
|l Quantum Control
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)PGI-8-20190808
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21