EconPapers    
Economics at your fingertips  
 

Electron cascade for distant spin readout

Cornelis J. van Diepen, Tzu-Kan Hsiao, Uditendu Mukhopadhyay, Christian Reichl, Werner Wegscheider and Lieven M. K. Vandersypen ()
Additional contact information
Cornelis J. van Diepen: QuTech and Kavli Institute of Nanoscience, Delft University of Technology
Tzu-Kan Hsiao: QuTech and Kavli Institute of Nanoscience, Delft University of Technology
Uditendu Mukhopadhyay: QuTech and Kavli Institute of Nanoscience, Delft University of Technology
Christian Reichl: Solid State Physics Laboratory, ETH Zürich
Werner Wegscheider: Solid State Physics Laboratory, ETH Zürich
Lieven M. K. Vandersypen: QuTech and Kavli Institute of Nanoscience, Delft University of Technology

Nature Communications, 2021, vol. 12, issue 1, 1-6

Abstract: Abstract The spin of a single electron in a semiconductor quantum dot provides a well-controlled and long-lived qubit implementation. The electron charge in turn allows control of the position of individual electrons in a quantum dot array, and enables charge sensors to probe the charge configuration. Here we show that the Coulomb repulsion allows an initial charge transition to induce subsequent charge transitions, inducing a cascade of electron hops, like toppling dominoes. A cascade can transmit information along a quantum dot array over a distance that extends by far the effect of the direct Coulomb repulsion. We demonstrate that a cascade of electrons can be combined with Pauli spin blockade to read out distant spins and show results with potential for high fidelity using a remote charge sensor in a quadruple quantum dot device. We implement and analyse several operating modes for cascades and analyse their scaling behaviour. We also discuss the application of cascade-based spin readout to densely-packed two-dimensional quantum dot arrays with charge sensors placed at the periphery. The high connectivity of such arrays greatly improves the capabilities of quantum dot systems for quantum computation and simulation.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.nature.com/articles/s41467-020-20388-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20388-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-20388-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20388-6