English

Krylov complexity of density matrix operators

High Energy Physics - Theory 2024-06-10 v3 Statistical Mechanics Quantum Physics

Abstract

Quantifying complexity in quantum systems has witnessed a surge of interest in recent years, with Krylov-based measures such as Krylov complexity (CKC_K) and Spread complexity (CSC_S) gaining prominence. In this study, we investigate their interplay by considering the complexity of states represented by density matrix operators. After setting up the problem, we analyze a handful of analytical and numerical examples spanning generic two-dimensional Hilbert spaces, qubit states, quantum harmonic oscillators, and random matrix theories, uncovering insightful relationships. For generic pure states, our analysis reveals two key findings: (I) a correspondence between moment-generating functions (of Lanczos coefficients) and survival amplitudes, and (II) an early-time equivalence between CKC_K and 2CS2C_S. Furthermore, for maximally entangled pure states, we find that the moment-generating function of CKC_K becomes the Spectral Form Factor and, at late-times, CKC_K is simply related to NCSNC_S for N2N\geq2 within the NN-dimensional Hilbert space. Notably, we confirm that CK=2CSC_K = 2C_S holds across all times when N=2N=2. Through the lens of random matrix theories, we also discuss deviations between complexities at intermediate times and highlight subtleties in the averaging approach at the level of the survival amplitude.

Keywords

Cite

@article{arxiv.2402.09522,
  title  = {Krylov complexity of density matrix operators},
  author = {Pawel Caputa and Hyun-Sik Jeong and Sinong Liu and Juan F. Pedraza and Le-Chen Qu},
  journal= {arXiv preprint arXiv:2402.09522},
  year   = {2024}
}

Comments

v1: 41 pages, 10 figures; v2: references added; v3: matching the published version

R2 v1 2026-06-28T14:48:56.891Z