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Machine-Designed Sensor to Make Optimal Use of Entanglement-Generating Dynamics for Quantum Sensing

Haine, Simon; Hope, Joseph

Description

We use machine optimization to develop a quantum sensing scheme that achieves significantly better sensitivity than traditional schemes with the same quantum resources. Utilizing one-axis twisting dynamics to generate quantum entanglement, we find that, rather than dividing the temporal resources into separate "state-preparation" and "interrogation" stages, a complicated machine-designed sequence of rotations allows for the generation of metrologically useful entanglement while the parameter is...[Show more]

dc.contributor.authorHaine, Simon
dc.contributor.authorHope, Joseph
dc.date.accessioned2022-06-24T01:31:45Z
dc.date.available2022-06-24T01:31:45Z
dc.identifier.issn0031-9007
dc.identifier.urihttp://hdl.handle.net/1885/268495
dc.description.abstractWe use machine optimization to develop a quantum sensing scheme that achieves significantly better sensitivity than traditional schemes with the same quantum resources. Utilizing one-axis twisting dynamics to generate quantum entanglement, we find that, rather than dividing the temporal resources into separate "state-preparation" and "interrogation" stages, a complicated machine-designed sequence of rotations allows for the generation of metrologically useful entanglement while the parameter is interrogated. This provides much higher sensitivities for a given total time compared to states generated via traditional one-axis twisting schemes. This approach could be applied to other methods of generating quantum-enhanced states, allowing for atomic clocks, magnetometers, and inertial sensors with increased sensitivities.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherAmerican Physical Society
dc.rights© 2020 American Physical Society
dc.sourcePhysical Review Letters
dc.titleMachine-Designed Sensor to Make Optimal Use of Entanglement-Generating Dynamics for Quantum Sensing
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume124
dc.date.issued2020
local.identifier.absfor000000 - Internal ANU use only
local.identifier.ariespublicationa383154xPUB10772
local.publisher.urlhttp://prl.aps.org/
local.type.statusPublished Version
local.contributor.affiliationHaine, Simon, College of Science, ANU
local.contributor.affiliationHope, Joseph, College of Science, ANU
local.bibliographicCitation.issue6
local.bibliographicCitation.startpage060402-1
local.bibliographicCitation.lastpage060402-6
local.identifier.doi10.1103/PhysRevLett.124.060402
dc.date.updated2021-08-01T08:21:17Z
local.identifier.scopusID2-s2.0-85080874152
dcterms.accessRightsOpen Access
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/13640..."The Published Version can be archived in Institutional Repository" from SHERPA/RoMEO site (as at 24/06/2022).
CollectionsANU Research Publications

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