Abstract

Tunneling is a fundamental quantum process with no classical equivalent, which can compete with Coulomb interactions to give rise to complex phenomena. Phosphorus dopants in silicon can be placed with atomic precision to address the different regimes arising from this competition. However, they exploit wavefunctions relying on crystal band symmetries, which tunneling interactions are inherently sensitive to. Here we directly image lattice-aperiodic valley interference between coupled atoms in silicon using scanning tunneling microscopy. Our atomistic analysis unveils the role of envelope anisotropy, valley interference and dopant placement on the Heisenberg spin exchange interaction. We find that the exchange can become immune to valley interference by engineering in-plane dopant placement along specific crystallographic directions. A vacuum-like behaviour is recovered, where the exchange is maximised to the overlap between the donor orbitals, and pair-to-pair variations limited to a factor of less than 10 considering the accuracy in dopant positioning. This robustness remains over a large range of distances, from the strongly Coulomb interacting regime relevant for high-fidelity quantum computation to strongly coupled donor arrays of interest for quantum simulation in silicon.

Coupled donor wavefunctions in silicon are spatially resolved to evidence valley interference processes. An atomic-scale understanding of the interplay between interference, envelope anisotropy and crystal symmetries unveils a placement strategy compatible with existing technology where the exchange is insensitive to interference.

Details

Title
Valley interference and spin exchange at the atomic scale in silicon
Author
Voisin, B 1   VIAFID ORCID Logo  ; Bocquel, J 1   VIAFID ORCID Logo  ; Tankasala, A 2 ; Usman, M 3   VIAFID ORCID Logo  ; Salfi, J 1 ; Rahman, R 4 ; Simmons, M Y 1 ; Hollenberg L C L 5   VIAFID ORCID Logo  ; Rogge, S 1   VIAFID ORCID Logo 

 The University of New South Wales, Centre for Quantum Computation and Communication Technology, School of Physics, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432) 
 Purdue University, Electrical and Computer Engineering Department, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197) 
 The University of Melbourne, Centre for Quantum Computation and Communication Technology, School of Physics, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); The University of Melbourne, School of Computing and Information Systems, Melbourne School of Engineering, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) 
 Purdue University, Electrical and Computer Engineering Department, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); The University of New South Wales, School of Physics, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432) 
 The University of Melbourne, Centre for Quantum Computation and Communication Technology, School of Physics, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473271516
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.