Template-assisted scalable nanowire networks
Martin Friedl, Kris Cerveny, Pirmin Weigele, Gozde Tutuncuoglu, Sara, Mart\'i-S\'anchez, Chunyi Huang, Taras Patlatiuk, Heidi Potts, Zhiyuan Sun,, Megan O. Hill, Lucas G\"uniat, Wonjong Kim, Mahdi Zamani, Vladimir G., Dubrovskii, Jordi Arbiol, Lincoln J. Lauhon, Dominik Zumbuhl

TL;DR
This paper presents a scalable, template-assisted method for growing highly regular, branched III-V nanowire networks on a large scale, advancing the development of topological quantum computing with Majorana fermions.
Contribution
It introduces a gold-free, lattice-mismatched growth technique for producing patterned, low-defect branched nanowire arrays with controlled composition and size, suitable for quantum applications.
Findings
Demonstrated growth of highly regular branched nanowire arrays
Achieved nanowire diameters below 20 nm with phase-coherent quantum transport
Enabled scalable patterning of nanowire networks for quantum computing
Abstract
Topological qubits based on Majorana fermions have the potential to revolutionize the emerging field of quantum computing by making information processing significantly more robust to decoherence. Nanowires (NWs) are a promising medium for hosting these kinds of qubits, though branched NWs are needed to perform qubit manipulations. Here we report gold-free templated growth of III-V NWs by molecular beam epitaxy using an approach that enables patternable and highly regular branched NW arrays on a far greater scale than what has been reported thus far. Our approach relies on the lattice-mismatched growth of InAs on top of defect-free GaAs nanomembranes (NMs) yielding laterally-oriented, low-defect InAs and InGaAs NWs whose shapes are determined by surface and strain energy minimization. By controlling NM width and growth time, we demonstrate the formation of compositionally graded NWs…
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.
