Non-equilibrium dynamics of quantum systems: order parameter evolution, defect generation, and qubit transfer
Shreyoshi Mondal, Diptiman Sen, K. Sengupta
TL;DR
The article addresses how quantum systems driven across quantum critical points or surfaces respond out of equilibrium, focusing on defect production and order-parameter dynamics under sudden and slow quenches. It develops universal scaling frameworks, including $n \sim \tau^{-d\nu/(z\nu+1)}$ for linear quenches and refined forms for quenches across critical surfaces or with nonlinear time dependences, with concrete demonstrations in the Kitaev honeycomb model, 1D ultracold atoms, and the infinite-range Ising model. It also shows how non-adiabatic dynamics can optimize quantum information tasks, notably qubit transfer fidelity and speed in spin chains via tailored time-dependent couplings. Together, these results illuminate universal non-equilibrium behavior near quantum criticality and offer practical routes to engineer quantum state transfer using controlled quench protocols.
Abstract
In this review, we study some aspects of the non-equilibrium dynamics of quantum systems. In particular, we consider the effect of varying a parameter in the Hamiltonian of a quantum system which takes it across a quantum critical point or line. We study both sudden and slow quenches in a variety of systems including one-dimensional ultracold atoms in an optical lattice, an infinite range ferromagnetic Ising model, and some exactly solvable spin models in one and two dimensions (such as the Kitaev model). We show that quenching leads to the formation of defects whose density has a power-law dependence on the quenching rate; the power depends on the dimensionalities of the system and of the critical surface and on some of the exponents associated with the critical point which is being crossed. We also study the effect of non-linear quenching; the power law of the defects then depends on the degree of non-linearity. Finally, we study some spin-1/2 models to discuss how a qubit can be transferred across a system.
