通过量子 p-自旋模型中的波动改变动力学相变的阶次

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
Lorenzo Correale and Alessandro Silva
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引用次数: 0

摘要

我们研究了一般 p > 2 的全连接伊辛 p-自旋模型的非平衡相图,并研究了它在包含铁磁短程自旋相互作用产生的自旋波波动时的稳健性。我们特别研究了量子淬火后均势场模型的动力学:我们观察到一个新的动力学相变,它是一阶或二阶的,取决于 p 的偶数或奇数奇偶性,这与热对应相变形成鲜明对比,后者对所有 p 都是一阶的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changing the order of a dynamical phase transition through fluctuations in a quantum p-spin model
We study the non-equilibrium phase diagram of a fully-connected Ising p-spin model, for generic p > 2, and investigate its robustness with respect to the inclusion of spin-wave fluctuations, resulting from a ferromagnetic, short-range spin interaction. In particular, we investigate the dynamics of the mean-field model after a quantum quench: we observe a new dynamical phase transition which is either first or second order depending on the even or odd parity of p, in stark contrast with its thermal counterpart which is first order for all p. The dynamical phase diagram is qualitatively modified by the fluctuations introduced by a short-range interaction which drive the system always towards various prethermal paramagnetic phases determined by the strength of time dependent fluctuations of the magnetization.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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