University of Cambridge > Talks.cam > DAMTP Statistical Physics and Soft Matter Seminar > Topology protects chiral edge currents in stochastic systems

Topology protects chiral edge currents in stochastic systems

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  • UserEvelyn Tang, Department of Living Matter Physics, Max Planck Institute of Dynamics and Self-Organization World_link
  • ClockTuesday 02 February 2021, 13:00-14:00
  • Housevia zoom, meeting ID 940-1803-7756.

If you have a question about this talk, please contact Patrick Pietzonka.

Zoom link: https://maths-cam-ac-uk.zoom.us/j/94018037756

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.

https://arxiv.org/abs/2010.02845

This talk is part of the DAMTP Statistical Physics and Soft Matter Seminar series.

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