eprintid: 10204449
rev_number: 9
eprint_status: archive
userid: 699
dir: disk0/10/20/44/49
datestamp: 2025-02-10 10:55:49
lastmod: 2025-02-10 10:55:49
status_changed: 2025-02-10 10:55:49
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Tombri, Nia
creators_name: Hurst, John R
title: Quantum Respiratory Science
ispublished: inpress
divisions: UCL
divisions: B02
divisions: C10
divisions: D17
divisions: K71
keywords: quantum computing, quantum sensing, respiratory health
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
date: 2025-01-31
date_type: published
publisher: Wiley
official_url: https://doi.org/10.1111/resp.14888
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2358290
doi: 10.1111/resp.14888
medium: Print-Electronic
lyricists_name: Hurst, John
lyricists_id: JHURS15
actors_name: Hurst, John
actors_id: JHURS15
actors_role: owner
full_text_status: restricted
publication: Respirology
event_location: Australia
citation:        Tombri, Nia;    Hurst, John R;      (2025)    Quantum Respiratory Science.                   Respirology        10.1111/resp.14888 <https://doi.org/10.1111/resp.14888>.    (In press).   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204449/3/Hurst_Quantum%20Respiratory%20Science_AAM.pdf