论文标题
拓扑保护随机系统中的手性边缘电流
Topology protects chiral edge currents in stochastic systems
论文作者
论文摘要
构建显示时间尺度的系统比基础组成部分以及新兴的动力学和集体行为更长,这是合成生物学和材料自组装等领域的关键目标。灵感通常来自生命系统,尽管基础过程具有随机性,但在这种系统中,全球行为盛行。在这里,我们提出了二维随机网络,这些网络由最小图案组成,这些基序是在分子尺度上代表不平衡周期的,并在构型空间中支持手性边缘电流。这些电流由于宽大的对应关系而在拓扑阶段出现,并在稳态中主导了系统动力学,进一步证明了对缺陷或阻塞的鲁棒性。我们演示了这些网络的拓扑特性及其独特的非弱点特征,例如特殊点和涡度,同时表征边缘状态定位。由于这些出现的边缘电流与宏观时间尺度和长度尺度有关,因此只需调整少量参数即可启用各种动态现象,包括全局时钟,动力学生长和收缩和同步。我们的构建为随机系统提供了一种新颖的拓扑形式主义,并对非炎热物理学的新见解为预测在新的古典和量子平台中预测可靠的动态状态的道路铺平了道路。
Constructing systems that exhibit time-scales much longer than those of the underlying components, as well as emergent dynamical and collective behavior, is a key goal in fields such as synthetic biology and materials self-assembly. Inspiration often comes from living systems, in which robust global behavior prevails despite the stochasticity of the underlying processes. Here, we present two-dimensional stochastic networks that consist of minimal motifs representing out-of-equilibrium cycles at the molecular scale and support chiral edge currents in configuration space. These currents arise in the topological phase due to the bulk-boundary correspondence and dominate the system dynamics in the steady-state, further proving robust to defects or blockages. We demonstrate the topological properties of these networks and their uniquely non-Hermitian features such as exceptional points and vorticity, while characterizing the edge state localization. As these emergent edge currents are associated to macroscopic timescales and length scales, simply tuning a small number of parameters enables varied dynamical phenomena including a global clock, dynamical growth and shrinkage, and synchronization. Our construction provides a novel topological formalism for stochastic systems and fresh insights into non-Hermitian physics, paving the way for the prediction of robust dynamical states in new classical and quantum platforms.