Litcius/Paper detail

Krylov complexity of density matrix operators

Paweł Caputa, Hyun-Sik Jeong, Sinong Liu, Juan F. Pedraza, Le-Chen Qu

2024Journal of High Energy Physics52 citationsDOIOpen Access PDF

Abstract

A bstract Quantifying complexity in quantum systems has witnessed a surge of interest in recent years, with Krylov-based measures such as Krylov complexity ( C K ) and Spread complexity ( C 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 C K and 2 C S . Furthermore, for maximally entangled pure states, we find that the moment-generating function of C K becomes the Spectral Form Factor and, at late-times, C K is simply related to NC S for N ≥ 2 within the N -dimensional Hilbert space. Notably, we confirm that C K = 2 C S holds across all times when N = 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.

Topics & Concepts

Hilbert spaceMathematicsDensity matrixPure mathematicsMatrix (chemical analysis)Eigenvalues and eigenvectorsRandom matrixLanczos resamplingQuantumQuantum mechanicsPhysicsMaterials scienceComposite materialRandom Matrices and ApplicationsQuantum Information and CryptographyQuantum many-body systems