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Quantum Machine Learning

The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams

arXiv
Authors: Renju S. Mathew, Roshan O'Donnell, Danielle Pizzey, Ifan G. Hughes

Year

2020

Paper ID

19737

Status

Preprint

Abstract Read

~2 min

Abstract Words

99

Citations

N/A

Abstract

We present a novel solution to automated beam alignment optimization. This device is based on a Raspberry Pi computer, stepper motors, commercial optomechanics and electronic devices, and the open source machine learning algorithm M-LOOP. We provide schematic drawings for the custom hardware necessary to operate the device and discuss diagnostic techniques to determine the performance. The beam auto-aligning device has been used to improve the alignment of a laser beam into a single-mode optical fiber from manually optimized fiber alignment with an iteration time of typically 20 minutes. We present example data of one such measurement to illustrate device performance.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • We present a novel solution to automated beam alignment optimization.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2010.15246 [2] arXiv https://arxiv.org/abs/2010.15246 [3] Publisher https://arxiv.org/abs/2010.15246

Local Citation Graph (Related-Paper Links)

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