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Trapped Ion Quantum Computing

Dynamical model selection near the quantum-classical boundary

arXiv
Authors: Jason F. Ralph, Marko Toroš, Simon Maskell, Kurt Jacobs, Muddassar Rashid, Ashley J. Setter, Hendrik Ulbricht

Year

2017

Paper ID

24898

Status

Preprint

Abstract Read

~2 min

Abstract Words

98

Citations

N/A

Abstract

We discuss a general method of model selection from experimentally recorded time-trace data. This method can be used to distinguish between quantum and classical dynamical models. It can be used in post-selection as well as for real-time analysis, and offers an alternative to statistical tests based on state-reconstruction methods. We examine the conditions that optimize quantum hypothesis testing, maximizing one's ability to discriminate between classical and quantum models. We set upper limits on the temperature and lower limits on the measurement efficiencies required to explore these differences, using a novel experiment in levitated optomechanical systems as an example.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2017 reference point for readers tracking recent quantum research.
  • We discuss a general method of model selection from experimentally recorded time-trace data.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1711.09635 [2] arXiv https://arxiv.org/abs/1711.09635 [3] Publisher https://arxiv.org/abs/1711.09635

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