Disordered topological graphs enhancing nonlinear phenomena

Kavli Affiliate: Joel Moore

| First 5 Authors: Zhetao Jia, Matteo Seclì, Alexander Avdoshkin, Walid Redjem, Elizabeth Dresselhaus

| Summary:

Complex networks play a fundamental role in understanding phenomena from the
collective behavior of spins, neural networks, and power grids to the spread of
diseases. Topological phenomena in such networks have recently been exploited
to preserve the response of systems in the presence of disorder. We propose and
demonstrate topological structurally disordered systems with a modal structure
that enhances nonlinear phenomena in the topological channels by inhibiting the
ultrafast leakage of energy from edge modes to bulk modes. We present the
construction of the graph and show that its dynamics enhances the topologically
protected photon pair generation rate by an order of magnitude. Disordered
nonlinear topological graphs will enable advanced quantum interconnects,
efficient nonlinear sources, and light-based information processing for
artificial intelligence.

| Search Query: ArXiv Query: search_query=au:”Joel Moore”&id_list=&start=0&max_results=3

Read More