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Multi-mode cooling of a Bose–Einstein condensate with linear quantum feedback

Abstract:
We theoretically investigate measurement-based feedback control over the motional degrees of freedom of an oblate quasi-2D atomic Bose–Einstein condensate (BEC) subject to continuous density monitoring. We develop a linear-quadratic-Gaussian model that describes the multi-mode dynamics of the condensate’s collective excitations under continuous measurement and control. Crucially, the multi-mode cold-damping feedback control we consider uses a realistic state-estimation scheme that does not rely upon a particular model of the atomic dynamics. We present analytical results showing that collective excitations can be cooled to below single-phonon average occupation (ground-state cooling) across a broad parameter regime, and identify the conditions under which the lowest steady-state phonon occupation is asymptotically achieved. Further, we develop multi-objective optimization methods that explore the trade-off between cooling speed and the final energy of the cloud, and provide numerical simulations demonstrating the ground-state cooling of the lowest ten motional modes above the condensate ground state. Our investigation provides concrete guidance on the feedback control design and parameters needed to experimentally realize a feedback-cooled BEC.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/2058-9565/ae0a7c

Authors

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Role:
Author
ORCID:
0000-0001-8251-4205
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Institution:
University of Oxford
Division:
SSD
Department:
International Development
Sub department:
Refugee Studies Centre
Role:
Author
ORCID:
0000-0002-7478-4026
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Role:
Author
ORCID:
0000-0002-8094-6992
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Role:
Author
ORCID:
0000-0002-5260-1380
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Role:
Author
ORCID:
0000-0002-3015-6511


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Funder identifier:
https://ror.org/05mmh0f86
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Funder identifier:
https://ror.org/033sn5p83


Publisher:
IOP Publishing
Journal:
Quantum Science and Technology More from this journal
Volume:
10
Issue:
4
Article number:
045059
Publication date:
2025-10-10
Acceptance date:
2025-09-23
DOI:
EISSN:
2058-9565


Language:
English
Keywords:
Pubs id:
2322393
Local pid:
pubs:2322393
Source identifiers:
3359984
Deposit date:
2025-10-10
ARK identifier:
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