Abstract

The quantum Fourier transformation (QFT) is a key building block for a whole wealth of quantum algorithms. Despite its proven efficiency, only a few proof-of-principle demonstrations have been reported. Here we utilize QFT to enhance the performance of a quantum sensor. We implement the QFT algorithm in a hybrid quantum register consisting of a nitrogen-vacancy (NV) center electron spin and three nuclear spins. The QFT runs on the nuclear spins and serves to process the sensor—i.e., the NV electron spin signal. Specifically, we show the application of QFT for correlation spectroscopy, where the long correlation time benefits the use of the QFT in gaining maximum precision and dynamic range at the same time. We further point out the ability for demultiplexing the nuclear magnetic resonance (NMR) signals using QFT and demonstrate precision scaling with the number of used qubits. Our results mark the application of a complex quantum algorithm in sensing which is of particular interest for high dynamic range quantum sensing and nanoscale NMR spectroscopy experiments.

Details

Title
Quantum Fourier transform for nanoscale quantum sensing
Author
Vorobyov Vadim 1   VIAFID ORCID Logo  ; Zaiser Sebastian 1 ; Abt Nikolas 1 ; Meinel, Jonas 2   VIAFID ORCID Logo  ; Dasari Durga 2   VIAFID ORCID Logo  ; Neumann Philipp 1 ; Wrachtrup Jörg 2 

 3. Physikalisches Institut, IQST and Centre for Applied Quantum Technologies, University of Stuttgart, Stuttgart, Germany (GRID:grid.5719.a) (ISNI:0000 0004 1936 9713) 
 3. Physikalisches Institut, IQST and Centre for Applied Quantum Technologies, University of Stuttgart, Stuttgart, Germany (GRID:grid.5719.a) (ISNI:0000 0004 1936 9713); Max-Planck Institute for Solid State Research, Stuttgart, Germany (GRID:grid.419552.e) (ISNI:0000 0001 1015 6736) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2559539800
Copyright
© The Author(s) 2021. 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.