Majorana wavefunction oscillations, fermion parity switches, and disorder in Kitaev chains
Suraj Hegde, Smitha Vishveshwara

TL;DR
This paper analyzes Majorana wavefunction decay and oscillations in Kitaev chains, revealing how they relate to topological phase transitions, fermion parity switches, and the effects of disorder using a transfer matrix approach.
Contribution
It introduces a transfer matrix method linking Majorana wavefunction properties to Lyapunov exponents, providing analytical insights into phase transitions, parity switches, and disorder effects in Kitaev chains.
Findings
Majorana wavefunction oscillations are determined by a non-superconducting model.
Topological phase transition occurs when superconducting and normal components cancel.
Disorder washes out band oscillations, leading to a second localization length.
Abstract
We study the decay and oscillations of Majorana fermion wavefunctions and ground state (GS) fermion parity in one-dimensional topological superconducting lattice systems. Using a Majorana transfer matrix method, we find that Majorana wavefunction properties are encoded in the associated Lyapunov exponent, which in turn is the sum of two independent components: a `superconducting component' which characterizes the gap induced decay, and the `normal component', which determines the oscillations and response to chemical potential configurations. The topological phase transition separating phases with and without Majorana end modes is seen to be a cancellation of these two components. We show that Majorana wavefunction oscillations are completely determined by an underlying non-superconducting tight-binding model and are solely responsible for GS fermion parity switches in finite-sized…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
