驱动型玻色-哈伯德模型的光谱统计

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
Jesús Mateos, Fernando Sols and Charles Creffield
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引用次数: 0

摘要

我们研究了受到动能驱动的一维玻色-哈伯德模型的频谱统计;动能驱动是弗洛凯工程的一种形式,其动能在时间上周期性地驱动,时间平均值为零。随着驱动振幅的增加,所产生的平带系统的基态从莫特绝缘体状态转变为奇异的超流体。我们的研究表明,这一转变伴随着系统谱统计量从泊松型到 GOE 型的变化。值得注意的是,与我们用作基准的传统玻色-哈伯德模型不同,GOE统计的细节对粒子数和晶格位点的奇偶性都很敏感。我们展示了这种效应是如何从这种形式的弗洛凯驱动所产生的哈密顿隐含对称性中产生的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectral statistics of driven Bose-Hubbard models
We study the spectral statistics of a one-dimensional Bose–Hubbard model subjected to kinetic driving; a form of Floquet engineering where the kinetic energy is periodically driven in time with a zero time-average. As the amplitude of the driving is increased, the ground state of the resulting flat-band system passes from the Mott insulator regime to an exotic superfluid. We show that this transition is accompanied by a change in the system’s spectral statistics from Poisson to GOE-type. Remarkably, and unlike in the conventional Bose–Hubbard model which we use as a benchmark, the details of the GOE statistics are sensitive to the parity of both the particle number and the lattice sites. We show how this effect arises from a hidden symmetry of the Hamiltonian produced by this form of Floquet driving.
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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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