2 research outputs found
Dynamical model selection near the quantum-classical boundary
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.Comment: 9 pages, 1 figure. Accepted for publication in Physical Review A
(Rapid Communication