Weighted slice rank and a minimax correspondence to Strassen's spectra

Matthias Christandl, Vladimir Lysikov*, Jeroen Zuiddam

*Corresponding author for this work

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1 Citation (Scopus)
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Abstract

Structural and computational understanding of tensors is the driving force behind faster matrix multiplication algorithms, the unraveling of quantum entanglement, and the breakthrough on the cap set problem. Strassen's asymptotic spectra program (FOCS 1986) characterizes optimal matrix multiplication algorithms through monotone functionals. Our work advances and makes novel connections among two recent developments in the study of tensors, namely • the slice rank of tensors, a notion of rank for tensors that emerged from the resolution of the cap set problem (Ann. Math. 2017), • and the quantum functionals of tensors (STOC 2018), monotone functionals defined as optimizations over moment polytopes. More precisely, we introduce an extension of slice rank that we call weighted slice rank and we develop a minimax correspondence between the asymptotic weighted slice rank and the quantum functionals. Weighted slice rank encapsulates different notions of bipartiteness of quantum entanglement. The correspondence allows us to give a rank-type characterization of the quantum functionals. Moreover, whereas the original definition of the quantum functionals only works over the complex numbers, this new characterization can be extended to all fields. Thereby, in addition to gaining deeper understanding of Strassen's theory for the complex numbers, we obtain a proposal for quantum functionals over other fields. The finite field case is crucial for combinatorial and algorithmic problems where the field can be optimized over.

Original languageEnglish
JournalJournal des Mathematiques Pures et Appliquees
Volume172
Pages (from-to)299-329
Number of pages31
ISSN0021-7824
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

Keywords

  • Asymptotic spectrum
  • Moment polytopes
  • Slice rank
  • Tensors

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