Abstract

The nitrogen vacancy centre in diamond is a leading platform for nanoscale sensing and imaging, as well as quantum information processing in the solid state. To date, individual control of two nitrogen vacancy electronic spins at the nanoscale has been demonstrated. However, a key challenge is to scale up such control to arrays of nitrogen vacancy spins. Here, we apply nanoscale magnetic resonance frequency encoding to realize site-selective addressing and coherent control of a four-site array of nitrogen vacancy spins. Sites in the array are separated by 100 nm, with each site containing multiple nitrogen vacancies separated by ~15 nm. Microcoils fabricated on the diamond chip provide electrically tuneable magnetic field gradients ~0.1 G/nm. Tailored application of gradient fields and resonant microwaves allow site-selective nitrogen vacancy spin manipulation and sensing applications, including Rabi oscillations, imaging, and nuclear magnetic resonance spectroscopy with nanoscale resolution. Microcoil-based magnetic resonance of solid-state spins provides a practical platform for quantum-assisted sensing, quantum information processing, and the study of nanoscale spin networks.

Details

Title
Selective addressing of solid-state spins at the nanoscale via magnetic resonance frequency encoding
Author
Zhang, H 1 ; Arai, K 2 ; Belthangady, C 1 ; J-C Jaskula 3   VIAFID ORCID Logo  ; Walsworth, R L 4 

 Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA 
 Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA 
 Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA 
 Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA 
Pages
1-8
Publication year
2017
Publication date
Aug 2017
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1929060434
Copyright
© 2017. 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.