2020
DOI: 10.1038/s41598-020-61037-8
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Probing the Possibilities of Ergodicity in the 1D Spin-1/2 XY Chain with Quench Dynamics

Abstract: Ergodicity sits at the heart of the connection between statistical mechanics and dynamics of a physical system. By fixing the initial state of the system into the ground state of the Hamiltonian at zero temperature and tuning a control parameter, we consider the occurrence of the ergodicity with quench dynamics in the one-dimensional (1D) spin-1/2 XY model in a transverse magnetic field. The ground-state phase diagram consists of two ferromagnetic and paramagnetic phases. It is known the magnetization in this … Show more

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Cited by 10 publications
(5 citation statements)
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References 55 publications
(52 reference statements)
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“…For related results, see Refs. [60,61,79]. Note, however, that in the present case a nonanalyticity appears only when the ground state of the post-quench Hamiltonian itself is critical.…”
Section: A Squeezed Initial Statementioning
confidence: 60%
“…For related results, see Refs. [60,61,79]. Note, however, that in the present case a nonanalyticity appears only when the ground state of the post-quench Hamiltonian itself is critical.…”
Section: A Squeezed Initial Statementioning
confidence: 60%
“…This is illustrated by the ubiquity of these models in current research on near-term quantum computers (Zhukov et al 2018;Lamm and Lawrence 2018;Zhu et al 2020;Yeter-Aydeniz et al 2021;Sun et al 2021;Neill et al 2021). Indeed, systems like the TFIM are quintessential in the study of quantum phase transitions (Suzuki et al 2012;Gómez-Ruiz et al 2016;Yang et al 2019), ergodicity (Cheraghi and Mahdavifar 2020), critical behavior (Granato 1992), as well as myriad condensed matter systems, such as ferroelectrics (Blinc et al 1979) and magnetic spin glasses (Wu et al 1991). When these models are made time-dependent, non-equilibrium effects such as dynamic phase transitions and quantum hysteresis can be studied (Tomé and de Oliveira 1990;Acharyya and Chakrabarti 1995;Acharyya 1998;Sides et al 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Now to make an imprint on our JW‐MF results coming out of the rate function, we look at the long‐time average of the rate function where it was displayed it can determine the nonequilibrium quantum phase transitions exactly at the QCPs, [ 47 ] a phenomenon similar to the long‐time average of order parameters. [ 48 ] The long‐time average of the rate function rlta is where the dynamics of the rate function goes to or fluctuates quietly around a stable situation. Defining η=limT1T0Tfalse|LE(t)false|2dt and thus truerightrlta=left1Nlogη=left1Nk>0log1+cos2(2normalΦk)2Figure 2(c) portrays rlta for quenches from normalΔ1=0.0 to desired anisotropy parameter normalΔ20 and constant values of the TF as h=0.0,0.5,2.0,2.2,2.5,3.0.…”
Section: Resultsmentioning
confidence: 99%
“…Now to make an imprint on our JW-MF results coming out of the rate function, we look at the long-time average of the rate function where it was displayed it can determine the nonequilibrium quantum phase transitions exactly at the QCPs, [47] a phenomenon similar to the long-time average of order parameters. [48] The long-time average of the rate function r lta is where the dynamics of the rate function goes to or fluctuates quietly around a stable situation. Defining = lim 2c the signatures of r lta exactly coincide with the quantum critical line h c .…”
Section: Quench Under Anisotropic Parametermentioning
confidence: 99%