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Quantum Machine Learning Quantum Chemistry

Swarm optimization for adaptive phase measurements with low visibility

arXiv
Authors: Alexander J. F. Hayes, Dominic W. Berry

Year

2013

Paper ID

31946

Status

Preprint

Abstract Read

~2 min

Abstract Words

88

Citations

N/A

Abstract

Adaptive feedback normally provides the greatest accuracy for optical phase measurements. New advances in nitrogen vacancy centre technology have enabled magnetometry via individual spin measurements, which are similar to optical phase measurements but with low visibility. The adaptive measurements that previously worked well with high-visibility optical interferometry break down and give poor results for nitrogen vacancy centre measurements. We use advanced search techniques based on swarm optimisation to design better adaptive measurements that can provide improved measurement accuracy with low-visibility interferometry, with applications in nitrogen vacancy centre magnetometry.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2013 reference point for readers tracking recent quantum research.
  • Adaptive feedback normally provides the greatest accuracy for optical phase measurements.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1311.3031 [2] arXiv https://arxiv.org/abs/1311.3031 [3] Publisher https://arxiv.org/abs/1311.3031

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