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Identifying Product Order with Restricted Boltzmann Machines 用受限玻尔兹曼机识别产品订单
Pub Date : 2017-09-08 DOI: 10.1103/PhysRevB.97.094207
W. Rao, Zhenyu Li, Q. Zhu, Mingxing Luo, Xin Wan
Unsupervised machine learning via a restricted Boltzmann machine is an useful tool in distinguishing an ordered phase from a disordered phase. Here we study its application on the two-dimensional Ashkin-Teller model, which features a partially ordered product phase. We train the neural network with spin configuration data generated by Monte Carlo simulations and show that distinct features of the product phase can be learned from non-ergodic samples resulting from symmetry breaking. Careful analysis of the weight matrices inspires us to define a nontrivial machine-learning motivated quantity of the product form, which resembles the conventional product order parameter.
基于受限玻尔兹曼机的无监督机器学习是区分有序相位和无序相位的有效工具。本文研究了该方法在含部分有序积相的二维Ashkin-Teller模型上的应用。我们用蒙特卡罗模拟生成的自旋组态数据训练神经网络,并表明可以从对称破缺引起的非遍历样本中学习到产物相的明显特征。对权重矩阵的仔细分析启发我们定义了一个产品形式的非平凡机器学习驱动量,它类似于传统的产品顺序参数。
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引用次数: 24
Short-Range-Order for fcc-based binary alloys Revisited from Microscopic Geometry 从微观几何重新审视fcc基二元合金的近程序
Pub Date : 2017-07-04 DOI: 10.7566/JPSJ.87.044804
Koretaka Yuge
Short-range order (SRO) in disordered alloys is typically interpreted as competition between chemical effect of negative (or positive) energy gain by mixing constituent elements and geometric effects comes from difference in effective atomic radius. Although we have a number of theoretical approaches to quantitatively estimate SRO at given temperatures, it is still unclear to systematically understand trends in SRO for binary alloys in terms of geometric character, e.g., effective atomic radius for constituents. Since chemical effect plays significant role on SRO, it has been believed that purely geometric character cannot quantitatively explain the SRO trends. Despite these considerations, based on the density functional theory (DFT) calculations on fcc-based 28 equiatomic binary alloys, we find that while convensional Goldschmidt or DFT-based atomic radius for constituents have no significant correlation with SRO, atomic radius for specially selected structure, constructed purely from information about underlying lattice, can successfully capture the magnitude of SRO. These facts strongly indicate that purely geometric information of the system plays central role to determine characteristic disordered structure.
无序合金中的短程有序(SRO)通常被解释为组成元素混合产生的负(或正)能量增益的化学效应与有效原子半径差异产生的几何效应之间的竞争。虽然我们有许多理论方法来定量估计给定温度下的SRO,但系统地了解二元合金在几何特征(例如成分的有效原子半径)方面的SRO趋势仍然不清楚。由于化学效应在SRO中起着重要的作用,人们认为单纯的几何特征不能定量地解释SRO的趋势。尽管有这些考虑,基于密度泛函理论(DFT)对基于fcc的28等原子二元合金的计算,我们发现,虽然传统的Goldschmidt或基于DFT的成分原子半径与SRO没有显著的相关性,但纯从基础晶格信息构建的特殊选择结构的原子半径可以成功捕获SRO的大小。这些事实强烈地表明,系统的纯几何信息对确定特征无序结构起着核心作用。
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引用次数: 0
Multifractality without fine-tuning in a Floquet quasiperiodic chain. Floquet拟周期链中无微调的多重分形。
Pub Date : 2017-06-15 DOI: 10.21468/SciPostPhys.4.5.025
S. Roy, Ivan M Khaymovich, Arnab Das, R. Moessner
Periodically driven, or Floquet, disordered quantum systems have generated many unexpected discoveries of late, such as the anomalous Floquet Anderson insulator and the discrete time crystal. Here, we report the emergence of an entire band of multifractal wavefunctions in a periodically driven chain of non-interacting particles subject to spatially quasiperiodic disorder. Remarkably, this multifractality is robust in that it does not require any fine-tuning of the model parameters, which sets it apart from the known multifractality of $critical$ wavefunctions. The multifractality arises as the periodic drive hybridises the localised and delocalised sectors of the undriven spectrum. We account for this phenomenon in a simple random matrix based theory. Finally, we discuss dynamical signatures of the multifractal states, which should betray their presence in cold atom experiments. Such a simple yet robust realisation of multifractality could advance this so far elusive phenomenon towards applications, such as the proposed disorder-induced enhancement of a superfluid transition.
周期性驱动或Floquet无序量子系统最近产生了许多意想不到的发现,例如异常Floquet Anderson绝缘体和离散时间晶体。在这里,我们报告了在受空间准周期无序影响的周期性驱动的非相互作用粒子链中出现的整个多重分形波函数带。值得注意的是,这种多重分形是鲁棒的,因为它不需要对模型参数进行任何微调,这将它与已知的临界波函数的多重分形区分开来。当周期性驱动混合了非驱动频谱的局部和非局部部分时,多重分形就出现了。我们用一个简单的基于随机矩阵的理论来解释这种现象。最后,我们讨论了多重分形态的动力学特征,这些特征在冷原子实验中应该显示出它们的存在。这种简单而稳健的多重分形实现可以将这种迄今为止难以捉摸的现象推向应用,例如提出的无序诱导的超流体转变增强。
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引用次数: 35
Comparison of Gabay-Toulouse and de Almeida-Thouless instabilities for the spin glass XY model in a field on sparse random graphs 稀疏随机图场中自旋玻璃XY模型Gabay-Toulouse和de Almeida-Thouless不稳定性的比较
Pub Date : 2017-05-02 DOI: 10.1103/PhysRevB.97.014414
Cosimo Lupo, F. Ricci-Tersenghi
Vector spin glasses are known to show two different kinds of phase transitions in presence of an external field: the so-called de Almeida-Thouless and Gabay-Toulouse lines. In the literature both critical lines have been computed only for fully connected models, which are known to show some unphysical behaviors (e. g. the divergence of these critical lines in the zero-temperature limit). Here we compute analytically these critical lines for XY spin glasses on random regular graphs. We discuss the different nature of these phase transitions and the dependence of the critical behavior on the field distribution. We also study the crossover between the two different critical behaviors.
已知矢量自旋玻璃在存在外场的情况下表现出两种不同的相变:所谓的de Almeida-Thouless线和Gabay-Toulouse线。在文献中,这两条临界线只对完全连接的模型进行了计算,这些模型已知会显示一些非物理行为(例如,这些临界线在零温度极限中的发散)。本文对随机正则图上XY自旋玻璃的临界线进行了解析计算。我们讨论了这些相变的不同性质以及临界行为与场分布的关系。我们还研究了两种不同临界行为之间的交叉。
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引用次数: 7
Liu-Nagel phase diagrams in infinite dimension 无限维Liu-Nagel相图
Pub Date : 2017-04-15 DOI: 10.21468/SciPostPhys.4.4.020
G. Biroli, P. Urbani
We study Harmonic Soft Spheres as a model of thermal structural glasses in the limit of infinite dimensions. We show that cooling, compressing and shearing a glass lead to a Gardner transition and, hence, to a marginally stable amorphous solid as found for Hard Spheres systems. A general outcome of our results is that a reduced stability of the glass favors the appearance of the Gardner transition. Therefore using strong perturbations, e.g. shear and compression, on standard glasses or using weak perturbations on weakly stable glasses, e.g. the ones prepared close to the jamming point, are the generic ways to induce a Gardner transition. The formalism that we discuss allows to study general perturbations, including strain deformations that are important to study soft glassy rheology at the mean field level.
我们研究了无限维极限下的调和软球作为热结构玻璃的模型。我们表明,冷却、压缩和剪切玻璃导致加德纳转变,因此,在硬球系统中发现了一个边缘稳定的非晶固体。我们的结果的一般结果是,玻璃的稳定性降低有利于加德纳跃迁的出现。因此,在标准玻璃上使用强扰动,如剪切和压缩,或在弱稳定玻璃上使用弱扰动,如在靠近干扰点制备的玻璃上使用弱扰动,是诱导加德纳跃迁的一般方法。我们讨论的形式允许研究一般扰动,包括应变变形,这对于在平均场水平上研究软玻璃流变学很重要。
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引用次数: 28
Many-body Localization Transition: Schmidt Gap, Entanglement Length & Scaling 多体定位跃迁:施密特间隙、纠缠长度和尺度
Pub Date : 2017-04-03 DOI: 10.1103/PhysRevB.97.201105
Johnnie Gray, S. Bose, A. Bayat
Many-body localization has become an important phenomenon for illuminating a potential rift between non-equilibrium quantum systems and statistical mechanics. However, the nature of the transition between ergodic and localized phases in models displaying many-body localization is not yet well understood. Assuming that this is a continuous transition, analytic results show that the length scale should diverge with a critical exponent $nu ge 2$ in one dimensional systems. Interestingly, this is in stark contrast with all exact numerical studies which find $nu sim 1$. We introduce the Schmidt gap, new in this context, which scales near the transition with a exponent $nu > 2$ compatible with the analytical bound. We attribute this to an insensitivity to certain finite size fluctuations, which remain significant in other quantities at the sizes accessible to exact numerical methods. Additionally, we find that a physical manifestation of the diverging length scale is apparent in the entanglement length computed using the logarithmic negativity between disjoint blocks.
多体局域化已成为揭示非平衡量子系统与统计力学之间潜在裂缝的重要现象。然而,在显示多体局部化的模型中,遍历阶段和局部阶段之间的过渡的性质尚未得到很好的理解。假设这是一个连续的过渡,分析结果表明,在一维系统中,长度尺度应该以一个临界指数$nu ge 2$发散。有趣的是,这与所有精确的数值研究发现$nu sim 1$形成鲜明对比。我们引入Schmidt间隙,在这种情况下是新的,它在转换附近缩放,其指数$nu > 2$与解析界兼容。我们将此归因于对某些有限尺寸波动的不敏感,这些波动在精确数值方法可达到的尺寸下的其他数量中仍然很重要。此外,我们发现在使用不相交块之间的对数负性计算的纠缠长度中,发散长度尺度的物理表现是明显的。
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引用次数: 27
Dynamically induced many-body localization 动态诱导多体定位
Pub Date : 2017-03-10 DOI: 10.1103/PhysRevB.97.100301
Soonwon Choi, D. Abanin, M. Lukin
We show that a quantum phase transition from ergodic to many-body localized (MBL) phases can be induced via periodic pulsed manipulation of spin systems. Such a transition is enabled by the interplay between weak disorder and slow heating rates. Specifically, we demonstrate that the Hamiltonian of a weakly disordered ergodic spin system can be effectively engineered, by using sufficiently fast coherent controls, to yield a stable MBL phase, which in turn completely suppresses the energy absorption from external control field. Our results imply that a broad class of existing many-body systems can be used to probe non-equilibrium phases of matter for a long time, limited only by coupling to external environment.
我们证明了一个量子相变从遍历相到多体局域相(MBL)可以通过周期性脉冲操纵自旋系统诱导。这种转变是由弱无序和慢加热速率之间的相互作用实现的。具体来说,我们证明了弱无序遍历自旋系统的哈密顿量可以通过使用足够快的相干控制来有效地设计,以产生稳定的MBL相位,从而完全抑制来自外部控制场的能量吸收。我们的结果表明,在很长一段时间内,现有的一类广泛的多体系统可以用于探测物质的非平衡相,仅受外部环境耦合的限制。
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引用次数: 14
Localization and symmetry breaking in the quantum quasiperiodic Ising glass 量子准周期Ising玻璃的局域化与对称破缺
Pub Date : 2017-02-10 DOI: 10.1103/physrevx.7.031061
A. Chandran, C. Laumann
Quasiperiodic modulation can prevent isolated quantum systems from equilibrating by localizing their degrees of freedom. In this article, we show that such systems can exhibit dynamically stable long-range orders forbidden in equilibrium. Specifically, we show that the interplay of symmetry breaking and localization in the quasiperiodic quantum Ising chain produces a emph{quasiperiodic Ising glass} stable at all energy densities. The glass order parameter vanishes with an essential singularity at the melting transition with no signatures in the equilibrium properties. The zero temperature phase diagram is also surprisingly rich, consisting of paramagnetic, ferromagnetic and quasiperiodically alternating ground state phases with extended, localized and critically delocalized low energy excitations. The system exhibits an unusual quantum Ising transition whose properties are intermediate between those of the clean and infinite randomness Ising transitions. Many of these results follow from a geometric generalization of the Aubry-Andr'e duality which we develop. The quasiperiodic Ising glass may be realized in near term quantum optical experiments.
准周期调制可以通过定域孤立量子系统的自由度来防止它们的平衡。在本文中,我们证明了这样的系统可以表现出平衡中禁止的动态稳定的长程阶。具体来说,我们证明了准周期量子伊辛链中的对称破缺和局域化的相互作用产生了在所有能量密度下都稳定的emph{准周期伊辛玻璃}。玻璃阶参量在熔融转变处消失,并伴有一个基本的奇点,平衡性质没有任何特征。零温度相图也出奇地丰富,由顺磁、铁磁和准周期性交替基态相组成,具有扩展的、局域的和临界非局域的低能量激发。该系统表现出一种不寻常的量子伊辛跃迁,其性质介于干净和无限随机伊辛跃迁之间。这些结果中有许多是根据我们对奥布里-安德烈对偶的几何推广得出的。准周期伊辛玻璃有望在近期量子光学实验中实现。
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引用次数: 28
Analytic Determination of Variance for Configurational Density of States in Crystalline Solids 结晶固体中状态构型密度方差的解析测定
Pub Date : 2017-01-30 DOI: 10.14723/tmrsj.42.81
Tetyuya Taikei, Kazuhito Takeuchi, Koretaka Yuge
Our recent study elucidate that information of density of states in configuration space (CDOS) for non-interacting system, characterized by spatial constraint on the system, plays essential role to determine thermodynamically equilibrium properties for interacting systems. Particularly for disordered states, variance of CDOS along all possible coordinations plays significant role. Despite this fact, even for binary system of crystalline solids, analytic expression for variance of CDOS as a function of composition has not been clarified so far. Here we successfully derive variance of CDOS as a function of composition for pair correlations, whose validity is demonstrated by comparing the results with uniform sampling of CDOS on real lattices. The present result certainly advances determining special microscopic state to characterize Helmholtz free energy in classical systems, whose structure is difficult to determine by numerical simulation.
我们最近的研究阐明了非相互作用系统的构型空间态密度信息(CDOS)在确定相互作用系统的热力学平衡特性中起着至关重要的作用,它具有系统的空间约束特征。特别是对于无序状态,cdo在所有可能的协调上的方差起着重要的作用。尽管如此,即使对于二元结晶固体体系,cdo的方差作为组分函数的解析表达式至今仍未明确。本文成功地推导出了cdo的方差作为组合相关的函数,并通过与真实格上的cdo均匀抽样结果进行比较,证明了其有效性。本文的研究结果为确定难以用数值模拟方法确定结构的经典体系中的亥姆霍兹自由能的特殊微观态提供了新的方法。
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引用次数: 0
Quantum Entanglement in Neural Network States 神经网络状态中的量子纠缠
Pub Date : 2017-01-17 DOI: 10.1103/PhysRevX.7.021021
D. Deng, Xiaopeng Li, Xiaopeng Li, S. Sarma
Machine learning, one of today's most rapidly growing interdisciplinary fields, promises an unprecedented perspective for solving intricate quantum many-body problems. Understanding the physical aspects of the representative artificial neural-network states is recently becoming highly desirable in the applications of machine learning techniques to quantum many-body physics. Here, we study the quantum entanglement properties of neural-network states, with a focus on the restricted-Boltzmann-machine (RBM) architecture. We prove that the entanglement of all short-range RBM states satisfies an area law for arbitrary dimensions and bipartition geometry. For long-range RBM states we show by using an exact construction that such states could exhibit volume-law entanglement, implying a notable capability of RBM in representing efficiently quantum states with massive entanglement. We further examine generic RBM states with random weight parameters. We find that their averaged entanglement entropy obeys volume-law scaling and meantime strongly deviates from the Page-entropy of the completely random pure states. We show that their entanglement spectrum has no universal part associated with random matrix theory and bears a Poisson-type level statistics. Using reinforcement learning, we demonstrate that RBM is capable of finding the ground state (with power-law entanglement) of a model Hamiltonian with long-range interaction. In addition, we show, through a concrete example of the one-dimensional symmetry-protected topological cluster states, that the RBM representation may also be used as a tool to analytically compute the entanglement spectrum. Our results uncover the unparalleled power of artificial neural networks in representing quantum many-body states, which paves a novel way to bridge computer science based machine learning techniques to outstanding quantum condensed matter physics problems.
机器学习是当今发展最快的跨学科领域之一,为解决复杂的量子多体问题提供了前所未有的前景。理解具有代表性的人工神经网络状态的物理方面最近在机器学习技术在量子多体物理中的应用中变得非常需要。在这里,我们研究了神经网络状态的量子纠缠特性,重点研究了受限玻尔兹曼机(RBM)结构。我们证明了所有短程RBM态的纠缠满足任意维和双分形几何的面积定律。对于远程RBM状态,我们通过使用精确的结构证明了这些状态可以表现出体积律纠缠,这意味着RBM在有效地表示具有大量纠缠的量子态方面具有显着的能力。我们进一步研究了具有随机权参数的一般RBM状态。我们发现它们的平均纠缠熵服从体积律缩放,同时强烈偏离完全随机纯态的page熵。我们证明了它们的纠缠谱没有与随机矩阵理论相关的普适部分,并且具有泊松型水平统计量。使用强化学习,我们证明了RBM能够找到具有远程相互作用的模型哈密顿量的基态(具有幂律纠缠)。此外,我们通过一维对称保护拓扑簇态的具体例子表明,RBM表示也可以用作分析计算纠缠谱的工具。我们的研究结果揭示了人工神经网络在表示量子多体态方面的无与伦比的能力,这为基于计算机科学的机器学习技术解决突出的量子凝聚态物理问题铺平了一条新的道路。
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引用次数: 320
期刊
arXiv: Disordered Systems and Neural Networks
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