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Dynamical model selection near the quantum-classical boundary

Dynamical model selection near the quantum-classical boundary
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 postselection 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 an experiment in levitated optomechanical systems as an example.
1050-2947
1-9
Ralph, Jason
64616482-61d2-4f9a-af1e-d8272beb2361
Toros, Marko
bd02c9f1-e498-474e-a98d-5b9882874915
Maskell, Simon
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Jacobs, Kurt
97065a09-2fce-48b4-9607-5a61e1de103f
Rashid, Muddassar
c5ffce41-d8df-4c49-a7c8-fdefc4a4df06
Setter, Ashley, James
00a0c476-7b25-41a7-9cda-b55d14cccf05
Ulbricht, Hendrik
5060dd43-2dc1-47f8-9339-c1a26719527d
Ralph, Jason
64616482-61d2-4f9a-af1e-d8272beb2361
Toros, Marko
bd02c9f1-e498-474e-a98d-5b9882874915
Maskell, Simon
2e06120a-0365-4650-a5c3-c6e89af402a5
Jacobs, Kurt
97065a09-2fce-48b4-9607-5a61e1de103f
Rashid, Muddassar
c5ffce41-d8df-4c49-a7c8-fdefc4a4df06
Setter, Ashley, James
00a0c476-7b25-41a7-9cda-b55d14cccf05
Ulbricht, Hendrik
5060dd43-2dc1-47f8-9339-c1a26719527d

Ralph, Jason, Toros, Marko, Maskell, Simon, Jacobs, Kurt, Rashid, Muddassar, Setter, Ashley, James and Ulbricht, Hendrik (2018) Dynamical model selection near the quantum-classical boundary. Physical Review A, 98, 1-9. (doi:10.1103/PhysRevA.98.010102).

Record type: Article

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 postselection 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 an experiment in levitated optomechanical systems as an example.

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Dynamical model selection near the quantum-classical boundary - Accepted Manuscript
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More information

Accepted/In Press date: 19 June 2018
e-pub ahead of print date: 6 July 2018
Additional Information: Author Ulbricht confirmed Arxiv copy 1711.09635v2 is AM

Identifiers

Local EPrints ID: 421938
URI: http://eprints.soton.ac.uk/id/eprint/421938
ISSN: 1050-2947
PURE UUID: 6d2a92ca-f3be-4c87-8ce7-48f27ffc6da0
ORCID for Ashley, James Setter: ORCID iD orcid.org/0000-0003-3723-3468
ORCID for Hendrik Ulbricht: ORCID iD orcid.org/0000-0003-0356-0065

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Date deposited: 11 Jul 2018 16:30
Last modified: 16 Mar 2024 03:58

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Contributors

Author: Jason Ralph
Author: Marko Toros
Author: Simon Maskell
Author: Kurt Jacobs
Author: Muddassar Rashid
Author: Ashley, James Setter ORCID iD

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