2023
DOI: 10.1103/physrevb.107.035148
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Quantifying nonstabilizerness of matrix product states

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Cited by 25 publications
(4 citation statements)
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“…Interesting research direction going forward is to combine our sampling approach with experiment [30] or approximate numerical methods such as tensor networks [32,46] and neural networks [33]. Our method can be used alongside or as a complement to other existing approximation methods [47][48][49][50][51][52].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Interesting research direction going forward is to combine our sampling approach with experiment [30] or approximate numerical methods such as tensor networks [32,46] and neural networks [33]. Our method can be used alongside or as a complement to other existing approximation methods [47][48][49][50][51][52].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…This feature can also be connected to MPS representations. States that can be represented as translational invariant MPSs, such as the ground state of the unfrustrated Ising model, have extensive SRE [39]. In contrast, the W -state has no efficient representation a translational invariant MPS [13,66], thus a violation of the extensive property of SRE is possible.…”
Section: Analysis Of Some Topologically Frustrated Modelsmentioning
confidence: 99%
“…This picture fails at the quantum critical point, where the correlation length diverges [43,44], and the entanglement shows a logarithmic violation of the area law. Here, the local approximation fails with a large offset error due to entanglement and magic getting a diverging logarithmic correction [39] which cannot be captured by local measures. Therefore, one has to consider very large blocks to get a reasonable approximation of the exact result.…”
Section: Introductionmentioning
confidence: 99%
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