Topological holographic quench dynamics in a synthetic dimension

• URL: http://arxiv.org/abs/2101.08606v2
• Date: Thu, 4 Feb 2021 01:21:02 GMT
• Title: Topological holographic quench dynamics in a synthetic dimension
• Authors: Danying Yu, Bo Peng, Xianfeng Chen, Xiong-Jun Liu, Luqi Yuan
• Abstract summary: We propose to efficiently characterize photonic topological phases via holographic quench dynamics. Key prediction is that the complete topological information of the Hamiltonian is extracted from quench dynamics solely in the time domain. This work also shows that the photonic synthetic frequency dimension provides an efficient and powerful way to explore the topological non-equilibrium dynamics.
• Score: 4.703471655236035
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The notion of topological phases extended to dynamical systems stimulates extensive studies, of which the characterization of non-equilibrium topological invariants is a central issue and usually necessitates the information of quantum dynamics in both the time and spatial dimensions. Here we combine the recently developed concepts of the dynamical classification of topological phases and synthetic dimension, and propose to efficiently characterize photonic topological phases via holographic quench dynamics. A pseudo spin model is constructed with ring resonators in a synthetic lattice formed by frequencies of light, and the quench dynamics is induced by initializing a trivial state which evolves under a topological Hamiltonian. Our key prediction is that the complete topological information of the Hamiltonian is extracted from quench dynamics solely in the time domain, manifesting holographic features of the dynamics. In particular, two fundamental time scales emerge in the quench dynamics, with one mimicking the Bloch momenta of the topological band and the other characterizing the residue time evolution of the state after quench. For this a dynamical bulk-surface correspondence is obtained in time dimension and characterizes the topology of the spin model. This work also shows that the photonic synthetic frequency dimension provides an efficient and powerful way to explore the topological non-equilibrium dynamics.

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