Published April 1, 2017 | Version v1
Journal article

Boundary-driven Lindblad dynamics of random quantum spin chains: strong disorder approach for the relaxation, the steady state and the current

  • 1. Institut de Physique Théorique, Université Paris Saclay, CNRS, CEA, 91191 Gif-sur-Yvette (France)

Description

The Lindblad dynamics of the XX quantum chain with large random fields hj (the couplings Jj can be either uniform or random) is considered for boundary-magnetization-drivings acting on the two end-spins. Since each boundary-reservoir tends to impose its own magnetization, we first study the relaxation spectrum in the presence of a single reservoir as a function of the system size via some boundary-strong-disorder renormalization approach. The non-equilibrium-steady-state in the presence of two reservoirs can be then analyzed from the effective renormalized Linbladians associated to the two reservoirs. The magnetization is found to follow a step profile, as found previously in other localized chains. The strong disorder approach allows to compute explicitly the location of the step of the magnetization profile and the corresponding magnetization-current for each disordered sample in terms of the random fields and couplings. (paper: disordered systems, classical and quantum)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-5468/aa6a2f

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Statistical Mechanics
Journal Volume
2017
Journal Issue
4
Journal Page Range
[23 p.]
ISSN
1742-5468

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49080095
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
HEISENBERG MODEL; MAGNETIZATION; QUANTUM MECHANICS; QUANTUM STATES; RANDOMNESS; RELAXATION; RENORMALIZATION; SPECTRA; SPIN; STEADY-STATE CONDITIONS
Descriptors DEC
ANGULAR MOMENTUM; CRYSTAL MODELS; MATHEMATICAL MODELS; MECHANICS; PARTICLE PROPERTIES