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Trapped Ion Quantum Computing

Efficient signal processing for time-resolved fluorescence detection of nitrogen-vacancy spins in diamond

arXiv
Authors: Anchal Gupta, Luke Hacquebard, Lilian Childress

Year

2015

Paper ID

26138

Status

Preprint

Abstract Read

~2 min

Abstract Words

110

Citations

N/A

Abstract

Room-temperature fluorescence detection of the nitrogen-vacancy center electronic spin typically has low signal to noise, requiring long experiments to reveal an averaged signal. Here, we present a simple approach to analysis of time-resolved fluorescence data that permits an improvement in measurement precision through signal processing alone. Applying our technique to experimental data reveals an improvement in signal to noise equivalent to a 14% increase in photon collection efficiency. We further explore the dependence of the signal to noise ratio on excitation power, and analyze our results using a rate equation model. Our results provide a rubric for optimizing fluorescence spin detection, which has direct implications for improving precision of nitrogen-vacancy-based sensors.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2015 reference point for readers tracking recent quantum research.
  • Room-temperature fluorescence detection of the nitrogen-vacancy center electronic spin typically has low signal to noise, requiring long experiments to reveal an averaged signal.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1511.04407 [2] arXiv https://arxiv.org/abs/1511.04407 [3] Publisher https://arxiv.org/abs/1511.04407

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