Published May 22, 2023 | Version v1
Dataset Open

Mach-Zehnder-like interferometry with graphene nanoribbon networks

Description

S. Sanz, N. Papior, G. Giedke, D. Sanchez-Portal, M. Brandbyge, and T. Frederiksen
Mach–Zehnder-like interferometry with graphene nanoribbon networks
J. Phys.: Condens. Matter 35, 374001 (2023)

We study theoretically electron interference in a Mach–Zehnder-like geometry formed by four zigzag graphene nanoribbons (ZGNRs) arranged in parallel pairs, one on top of the other, such that they form intersection angles of 60˚ Depending on the interribbon separation, each intersection can be tuned to act either as an electron beam splitter or as a mirror, enabling tuneable circuitry with interfering pathways. Based on the mean-field Hubbard model and Green's function techniques, we evaluate the electron transport properties of such 8-terminal devices and identify pairs of terminals that are subject to self-interference. We further show that the scattering matrix formalism in the approximation of independent scattering at the four individual junctions provides accurate results as compared with the Green's function description, allowing for a simple interpretation of the interference process between two dominant pathways. This enables us to characterize the device sensitivity to phase shifts from an external magnetic flux according to the Aharonov–Bohm effect as well as from small geometric variations in the two path lengths. The proposed devices could find applications as magnetic field sensors and as detectors of phase shifts induced by local scatterers on the different segments, such as adsorbates, impurities or defects. The setup could also be used to create and study quantum entanglement.

Notes

We acknowledge funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 863098 (FET-Open project "SPRING")

Files

Files (27.1 MB)

Name Size Download all
md5:1738fa8acea3e221e6c9cd8b38c1eba0
27.1 MB Download

Additional details

Related works

Documents
Journal article: 10.1088/1361-648X/acd832 (DOI)

Funding

European Commission
SPRING - SPin Research IN Graphene 863098