Quantum capacities of transducers.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
05 Nov 2022
Historique:
received: 21 04 2022
accepted: 24 10 2022
pubmed: 6 11 2022
medline: 6 11 2022
entrez: 6 11 2022
Statut: epublish

Résumé

High-performance quantum transducers, which faithfully convert quantum information between disparate physical carriers, are essential in quantum science and technology. Different figures of merit, including efficiency, bandwidth, and added noise, are typically used to characterize the transducers' ability to transfer quantum information. Here we utilize quantum capacity, the highest achievable qubit communication rate through a channel, to define a single metric that unifies various criteria of a desirable transducer. Using the continuous-time quantum capacities of bosonic pure-loss channels as benchmarks, we investigate the optimal designs of generic quantum transduction schemes implemented by transmitting external signals through a coupled bosonic chain. With physical constraints on the maximal coupling rate [Formula: see text], the highest continuous-time quantum capacity [Formula: see text] is achieved by transducers with a maximally flat conversion frequency response, analogous to Butterworth electric filters. We further investigate the effect of thermal noise on the performance of transducers.

Identifiants

pubmed: 36335174
doi: 10.1038/s41467-022-34373-8
pii: 10.1038/s41467-022-34373-8
pmc: PMC9637183
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6698

Subventions

Organisme : United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO)
ID : W911NF-18-1-0020
Organisme : United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO)
ID : W911NF-18-1-0212
Organisme : United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO)
ID : W911NF-21-1-0349
Organisme : United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO)
ID : W911NF-21-1-0325
Organisme : United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research)
ID : FA9550-19-1-0399
Organisme : United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research)
ID : FA9550-21-1-0209
Organisme : United States Department of Defense | United States Air Force | AFMC | Air Force Research Laboratory (AFRL)
ID : FA8649-21-P-0781
Organisme : U.S. Department of Energy (DOE)
ID : Q-NEXT

Informations de copyright

© 2022. The Author(s).

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Auteurs

Chiao-Hsuan Wang (CH)

Department of Physics and Center for Theoretical Physics, National Taiwan University, Taipei, 10617, Taiwan. chiaowang@phys.ntu.edu.tw.
Center for Quantum Science and Engineering, National Taiwan University, Taipei, 10617, Taiwan. chiaowang@phys.ntu.edu.tw.
Physics Division, National Center for Theoretical Sciences, Taipei, 10617, Taiwan. chiaowang@phys.ntu.edu.tw.
Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA. chiaowang@phys.ntu.edu.tw.

Fangxin Li (F)

Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.

Liang Jiang (L)

Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.

Classifications MeSH