Weighted slice rank and a minimax correspondence to Strassen's spectra
Matthias Christandl, Vladimir Lysikov, Jeroen Zuiddam

TL;DR
This paper introduces weighted slice rank and establishes a minimax correspondence with quantum functionals, connecting tensor rank notions to Strassen's spectra and extending their applicability across different fields.
Contribution
It develops a novel weighted slice rank and links it to quantum functionals through a minimax theorem, broadening the understanding of tensor ranks and Strassen's spectra.
Findings
Weighted slice rank generalizes tensor rank notions.
A minimax correspondence links weighted slice rank to quantum functionals.
Quantum functionals are extended to all fields, including finite fields.
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. of 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…
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Taxonomy
TopicsTensor decomposition and applications · Quantum Computing Algorithms and Architecture · Numerical Methods and Algorithms
