Long-range doublon transfer in a dimer chain induced by topology and ac fields

TL;DR

This paper demonstrates methods to induce long-range particle transfer in a dimer chain using topology and ac fields, with potential applications in quantum information transfer and reduced decoherence.

Contribution

It introduces a novel approach combining topological and non-topological states with periodic driving to achieve end-to-end transfer of strongly correlated particles.

Findings

Doublon transfer via topological edge states

Surface states enable transfer under periodic driving

Driving can switch topological character of edge states

Abstract

The controlled transfer of particles from one site of a spatial lattice to another is essential for many tasks in quantum information processing and quantum communication. Arrays of semiconductor quantum dots and ultracold atoms held in optical lattices, provide two means of studying coherent quantum transport in well-controlled systems. In this work we study how to induce long-range transfer between the two ends of a dimer chain, by coupling states that are localized just on the chain's end-points. This has the appealing feature that the transfer occurs only between the end-points -- the particle does not pass through the intermediate sites -- making the transfer less susceptible to decoherence. We first show how a repulsively bound-pair of fermions, known as a doublon, can be transferred from one end of the chain to the other via topological edge states. We then show how non-topological surface states of the familiar Shockley or Tamm type can be used to produce a similar form of transfer under the action of a periodic driving potential. Finally we show that combining these effects can produce transfer by means of more exotic topological effects, in which the driving field can be used to switch the topological character of the edge states, as measured by the Zak phase. Our results demonstrate how to induce long range transfer of strongly correlated particles by tuning both topology and driving.