Sparsity dependence of Krylov state complexity in the SYK model
Raghav G. Jha, Ranadeep Roy

TL;DR
This paper investigates how the sparsity of the SYK model affects its Krylov state complexity and the model's holographic properties, revealing that complexity peaks remain stable beyond a certain sparsity threshold.
Contribution
It introduces Krylov complexity as a new probe to determine the critical sparsity threshold for holography in sparse SYK models.
Findings
Complexity peaks are unaffected for sparsity above a threshold.
The threshold for holography aligns with the stability of Krylov complexity.
Provides a novel method to identify the critical sparsity in SYK models.
Abstract
We study the Krylov state complexity of the Sachdev-Ye-Kitaev (SYK) model for Majorana fermions with -body fermion interaction with for a range of sparse parameter that controls the number of remaining terms in the original SYK model after sparsification. The critical value of below which the model ceases to be holographic, denoted , has been subject of several recent investigations. Using Krylov complexity as a probe, we find that the peak value of complexity does not change as we increase beyond at large temperatures. We argue that this behavior is related to the change in the holographic nature of the Hamiltonian in the sparse SYK-type models such that the model is holographic for all . Our results provide a novel way to determine in SYK-type models.
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Taxonomy
TopicsNeural Networks and Applications
