Analysis of weighted quantum secret sharing based on matrix product states
Version 2 2024-06-04, 02:39
Version 1 2020-01-01, 00:00
journal contribution
posted on 2024-06-04, 02:39 authored by H Lai, J Pieprzyk, Lei PanAnalysis of weighted quantum secret sharing based on matrix product states
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New York, N.Y.Language
EnglishPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2020, Springer Science+Business MediaJournal
Quantum Information ProcessingVolume
19Article number
ARTN 418ISSN
1570-0755eISSN
1573-1332Issue
12Publisher
SPRINGERUsage metrics
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Keywords
Science & TechnologyPhysical SciencesQuantum Science & TechnologyPhysics, MultidisciplinaryPhysics, MathematicalPhysicsTensor networksQuantum many-body systemsHexagon tensor networkWeighted quantum secret sharingMatrix product stateFaculty of Science Engineering and Built EnvironmentSchool of Information Technology5108 Quantum physics5107 Particle and high energy physics
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