State Dependent Spread Complexity Dynamics in Many-Body Localization Transition

TL;DR

This paper investigates the use of spread complexity and inverse participation ratio in Krylov space to characterize the many-body localization transition in disordered spin chains, revealing phase distinctions through dynamical measures.

Contribution

It introduces a novel approach using Krylov space dynamics and spread complexity to distinguish ergodic, MBL, and integrable phases in many-body systems.

Findings

Spread complexity peaks indicate the MBL transition.

Saturation values of spread complexity differentiate phases.

Bath coupling affects complexity decay rates.

Abstract

We characterize the Many-Body Localization (MBL) phase transition using the dynamics of spread complexity and inverse participation ratio in the Krylov space starting from different initial states. Our analysis of the disordered Heisenberg spin-1/2 chain unravels that the ergodic-to-MBL transition can be determined from the transition of the pre-saturation peak in the thermofield double state (TFD) spread complexity. On the other hand, if an initially ordered state or a superposition of a small number of such states is chosen, then the saturation value of spread complexity and Krylov inverse participation ratio (KIPR) can distinguish the ergodic phase from the integrable phases, with no sharp difference between the integrable phases. Interestingly, the distinction between the disorder-free integrable and the MBL integrable phase is established by the spread complexity study of random states chosen from unitary and orthogonal Haar ensembles. We also study the complexity dynamics by coupling the system to a bath, which shows distinctive profiles in different phases. A stretched exponential decay of KIPR is observed when the MBL system is connected to the bath, with the decay starting at an earlier time for a greater value of environmental dephasing. Our work sheds light on the efficacy of Krylov space dynamics in understanding phase transitions in quantum many-body systems.