Published March 17, 2026 | Version v1
Dataset Open

Data for: Adaptive, Symmetry-Informed Bayesian Metrology for Precise Quantum Technology Measurements

Authors/Creators

  • 1. ROR icon University of Nottingham
  • 2. EDMO icon University of Surrey
  • 3. EDMO icon University of Exeter
  • 4. EDMO icon University of Potsdam

Description

Raw and Processed data from Adaptive, Symmetry-Informed Bayesian Metrology for Precise Quantum
Technology Measurements arXiv:2410.10615 [quant-ph].

Files

raw data.zip

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md5:fdb6a582c741f8496410c70e39c27be1
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md5:faa018d7cb6cc2ab601d53170016e2aa
21.4 MB Preview Download
md5:0e47b0e64bdb9c508490f644524e9b41
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Additional details

Related works

Is supplement to
Preprint: arXiv:2410.10615 (arXiv)
Publication: 10.1103/rq95-zq9r (DOI)

Funding

University of Surrey
Surrey Future Fellowship
Engineering and Physical Sciences Research Council
EP/R045577/1
Engineering and Physical Sciences Research Council
EP/T002875/1
John Templeton Foundation
62420
Innovate UK
133086
Engineering and Physical Sciences Research Council
EP/T001046/1
Engineering and Physical Sciences Research Council
EP/R024111/1
Engineering and Physical Sciences Research Council
EP/M013294/1
Engineering and Physical Sciences Research Council
EP/Y005139/1
Engineering and Physical Sciences Research Council
EP/Z533166/1
European Commission
ErBeStA 800942