Floquet generation of Majorana end modes and topological invariants
Manisha Thakurathi, Aavishkar A. Patel, Diptiman Sen, Amit Dutta

TL;DR
This paper demonstrates how periodic driving in a one-dimensional p-wave superconductor model can generate and control Majorana end modes, introducing a new topological invariant and analyzing effects of interactions and noise.
Contribution
It introduces a novel topological invariant for Floquet systems that accurately predicts Majorana modes and explores various driving protocols and their impact on end modes.
Findings
Periodic driving can generate multiple Majorana end modes.
A new topological invariant predicts end modes more reliably.
Driving frequency influences the number of end modes.
Abstract
We show how Majorana end modes can be generated in a one-dimensional system by varying some of the parameters in the Hamiltonian periodically in time. The specific model we consider is a chain containing spinless electrons with a nearest-neighbor hopping amplitude, a p-wave superconducting term and a chemical potential; this is equivalent to a spin-1/2 chain with anisotropic XY couplings between nearest neighbors and a magnetic field applied in the z-direction. We show that varying the chemical potential (or magnetic field) periodically in time can produce Majorana modes at the ends of a long chain. We discuss two kinds of periodic driving, periodic delta-function kicks and a simple harmonic variation with time. We discuss some distinctive features of the end modes such as the inverse participation ratio of their wave functions and their Floquet eigenvalues which are always equal to +/-…
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