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dc.contributor.author
Bosshard, Vitor
dc.date.accessioned
2017-06-14T02:56:13Z
dc.date.available
2017-06-14T02:56:13Z
dc.date.issued
2015
dc.identifier.uri
http://hdl.handle.net/20.500.11850/155279
dc.identifier.doi
10.3929/ethz-a-010540777
dc.format
application/pdf
dc.language.iso
en
dc.publisher
ETH-Zürich
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME
dc.subject
LINEARE OPTIMIERUNG (OPERATIONS RESEARCH)
dc.subject
QUANTENBERECHNUNGEN (UNIVERSELLE MASCHINEN)
dc.subject
PROGRAMS AND ALGORITHMS FOR THE SOLUTION OF SPECIAL PROBLEMS
dc.subject
LINEAR PROGRAMMING (OPERATIONS RESEARCH)
dc.subject
QUANTUM COMPUTING (UNIVERSAL MACHINES)
dc.title
Classical and Quantum Algorithms for USO Recognition
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2015
ethz.size
Online-Ressource
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
DDC - DDC::5 - Science::510 - Mathematics
ethz.notes
Master Thesis, October 13, 2015.
ethz.identifier.nebis
010540777
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02643 - Institut für Theoretische Informatik / Inst. Theoretical Computer Science
ethz.date.deposited
2017-06-14T03:03:00Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b7f60b0697113
ethz.ecolpid
eth:48198
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-16T03:30:02Z
ethz.rosetta.lastUpdated
2020-02-15T04:45:29Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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