Paper · P21
Wang & Lo (2019)
Wenyuan Wang; Hoi-Kwong Lo · 2019 (Phys. Rev. A 100, 062334); arXiv v2 2019-06-05
- Status
- METADATA ONLYOnly bibliographic metadata was checked; content is not verified.
- Game
- none stated
- Anchor
- —
- Source file
- research/PRIOR_ART_MATRIX.csv
Precise theorem
Machine learning (neural network) prediction of optimal QKD protocol parameters (title/metadata). NOT transcribed.
Citations
Record
Every field of the source record, in file order.
- Canonical linkcanonical_link
https://doi.org/10.1103/PhysRevA.100.062334 (arXiv:1812.07724)
- Authorsauthors
Wenyuan Wang; Hoi-Kwong Lo
- Publication datepublication_date
2019 (Phys. Rev. A 100, 062334); arXiv v2 2019-06-05
- Versionversion
arXiv v2
- Correction statuscorrection_status
not checked
- Input modelinput_model
QKD device/channel parameters
- Verifier modelverifier_model
n/a
- Adversary capabilitiesadversary_capabilities
n/a
- Tested parameterstested_parameters
NOT_VERIFIED
- Proof dependenciesproof_dependencies
underlying finite-key rate formulas
- Datasetsdatasets
none
- Codecode
NOT_VERIFIED
- Licenselicense
arXiv non-exclusive
- Limitationslimitations
QKD only; ML prediction not itself a proof.
- What QMint addswhat_QMint_adds
CLOSE PRIOR ART for 'parameter optimisation from device parameters' (QKD). QMint surrogate/ML ideas are not new.
- Access statusaccess_status
METADATA_ONLY
- Qmint gameqmint_game
none (QKD)