Multiseed Krylov Complexity

Krylov complexity is an attractive measure for the rate at which quantum operators spread in the space of all possible operators under dynamical evolution. One expects that its late-time plateau would distinguish between integrable and chaotic dynamics, but its ability to do so depends precariously on the choice of the initial seed. We propose to apply such considerations not to a single operator, but simultaneously to a collection of initial seeds in the manner of the block-Lanczos algorithm. We furthermore suggest that this collection should comprise all simple (few-body) operators in the theory, which echoes the applications of Nielsen complexity to dynamical evolution. The resulting construction, unlike the conventional Krylov complexity, reliably distinguishes integrable and chaotic Hamiltonians without any need for fine-tuning.

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Publication Details

Journal
Physical Review Letters
Published
2025-02-04
DOI
https://doi.org/10.1103/physrevlett.134.050402
Citations
11
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
27.29

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article

Multiseed Krylov Complexity

Ben Craps, Oleg Evnin, Gabriele Pascuzzi
11 citations
Physical Review Letters
Quantum Computing Algorithms and Architecture
27.29
article

Multiseed Krylov Complexity

Ben Craps, Oleg Evnin, Gabriele Pascuzzi
article en
11 citations

Abstract

Krylov complexity is an attractive measure for the rate at which quantum operators spread in the space of all possible operators under dynamical evolution. One expects that its late-time plateau would distinguish between integrable and chaotic dynamics, but its ability to do so depends precariously on the choice of the initial seed. We propose to apply such considerations not to a single operator, but simultaneously to a collection of initial seeds in the manner of the block-Lanczos algorithm. We furthermore suggest that this collection should comprise all simple (few-body) operators in the theory, which echoes the applications of Nielsen complexity to dynamical evolution. The resulting construction, unlike the conventional Krylov complexity, reliably distinguishes integrable and chaotic Hamiltonians without any need for fine-tuning.

Physical Review LettersVol. 134(5)
Vrije Universiteit Brussel (BE), Chulalongkorn University (TH)
Fonds Wetenschappelijk Onderzoek, Vrije Universiteit Brussel, Vlaamse regering, Thailand Science Research and Innovation
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
27.29
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Multiseed Krylov Complexity — Ben Craps, Oleg Evnin, et al. · Physical Review Letters (2025) | TGRS Research Map | TGRS