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Optimization of optical spin readout of the nitrogen-vacancy center in diamond based on spin relaxation model

MetadataDetails
Publication Date2022-05-01
JournalAIP Advances
AuthorsYuki Nakamura, Hideyuki Watanabe, Hitoshi Sumiya, Kohei M. Itoh, Kento Sasaki
InstitutionsNational Institute of Advanced Industrial Science and Technology, The University of Tokyo
Citations1

For quantum sensing, it is vital to develop an efficient technique for determining the quantum state of the sensor. We optimize the weighting of the photoluminescence intensity for readout of the spin state of the nitrogen-vacancy (NV) center in diamond. We find that adopting a physical model that considers the optical transitions and relaxations of the NV center allows for an efficient readout. Our method improves the signal-to-noise ratio of the readout by 5.4% in a short time of 3 s, while the existing methods typically require 1 min of integration time. We also show that our technique enhances the readout of the nuclear spin memory. The demonstrated way is helpful for a wide range of measurements, from a few minutes to several days.

  1. 2008 - Nanoscale imaging magnetometry with diamond spins under ambient conditions [Crossref]
  2. 2008 - High-sensitivity diamond magnetometer with nanoscale resolution [Crossref]
  3. 2008 - Nanoscale magnetic sensing with an individual electronic spin in diamond [Crossref]
  4. 2008 - Scanning magnetic field microscope with a diamond single-spin sensor [Crossref]
  5. 2014 - Nitrogen-vacancy centers in diamond: Nanoscale sensors for physics and biology [Crossref]
  6. 2018 - Probing condensed matter physics with magnetometry based on nitrogen-vacancy centres in diamond [Crossref]
  7. 2021 - Nanoscale magnetic field imaging for 2D materials [Crossref]
  8. 2020 - Sensitivity optimization for NV-diamond magnetometry [Crossref]
  9. 2018 - Spin readout techniques of the nitrogen-vacancy center in diamond [Crossref]
  10. 2010 - Optical properties of the nitrogen-vacancy singlet levels in diamond [Crossref]