Stochastic sampling of operator growth dynamics

Ayush De, Umberto Borla, Xiangyu Cao, Snir Gazit

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We put forward a Monte Carlo algorithm that samples the Euclidean time operator growth dynamics at infinite temperature. Crucially, our approach is free from the numerical sign problem for a broad family of quantum many-body spin systems, allowing for numerically exact and unbiased calculations. We apply this methodological headway to study the high-frequency dynamics of the mixed-field quantum Ising model in one and two dimensions. The resulting quantum dynamics display rapid thermalization, supporting the recently proposed operator growth hypothesis. Physically, our findings correspond to an exponential falloff of generic response functions of local correlators at large frequencies. Remarkably, our calculations are sufficiently sensitive to detect subtle logarithmic corrections of the hypothesis in one dimension. In addition, in two dimensions, we uncover a nontrivial dynamical crossover between two large-frequency decay rates. Last, we reveal spatiotemporal scaling laws associated with operator growth, which are found to be strongly affected by boundary contributions.

Original languageEnglish
Article number155135
JournalPhysical Review B
Volume110
Issue number15
DOIs
StatePublished - 15 Oct 2024

Bibliographical note

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© 2024 American Physical Society.

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