An optomechanical platform for quantum hypothesis testing for collapse models. (8th April 2021)
- Record Type:
- Journal Article
- Title:
- An optomechanical platform for quantum hypothesis testing for collapse models. (8th April 2021)
- Main Title:
- An optomechanical platform for quantum hypothesis testing for collapse models
- Authors:
- Marchese, Marta Maria
Belenchia, Alessio
Pirandola, Stefano
Paternostro, Mauro - Abstract:
- Abstract: Quantum hypothesis testing has shown the advantages that quantum resources can offer in the discrimination of competing hypothesis. Here, we apply this framework to optomechanical systems and fundamental physics questions. In particular, we focus on an optomechanical system composed of two cavities employed to perform quantum channel discrimination. We show that input squeezed optical noise, and feasible measurement schemes on the output cavity modes, allow to obtain an advantage with respect to any comparable classical schemes. We apply these results to the discrimination of models of spontaneous collapse of the wavefunction, highlighting the possibilities offered by this scheme for fundamental physics searches.
- Is Part Of:
- New journal of physics. Volume 23:Number 4(2021)
- Journal:
- New journal of physics
- Issue:
- Volume 23:Number 4(2021)
- Issue Display:
- Volume 23, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 23
- Issue:
- 4
- Issue Sort Value:
- 2021-0023-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-08
- Subjects:
- quantum hypothesis testing -- quantum optomechanics -- collapse models
Physics -- Periodicals
Physics
Periodicals
530.05 - Journal URLs:
- http://iopscience.iop.org/1367-2630 ↗
http://njp.org/index.html ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1367-2630/abec0d ↗
- Languages:
- English
- ISSNs:
- 1367-2630
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16301.xml