Dynamical model selection near the quantum-classical boundary
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.
Cite
@article{arxiv.1711.09635,
title = {Dynamical model selection near the quantum-classical boundary},
author = {Jason F. Ralph and Marko Toroš and Simon Maskell and Kurt Jacobs and Muddassar Rashid and Ashley J. Setter and Hendrik Ulbricht},
journal= {arXiv preprint arXiv:1711.09635},
year = {2018}
}
Comments
9 pages, 1 figure. Accepted for publication in Physical Review A (Rapid Communication)