dorsal/arxiv
View SchemaLow Timing Jitter Detector for Gigahertz Quantum Key Distribution
| Authors | R. J. Collins, R. H. Hadfield, V. Fernandez, S. W. Nam, G. S. Buller |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0702216 |
| URL | https://arxiv.org/abs/quant-ph/0702216 |
| Journal | Electronics Letters, 43 (3), pp 180-182 (2007) |
Abstract
A superconducting single-photon detector based on a niobium nitride nanowire is demonstrated in an optical-fibre-based quantum key distribution test bed operating at a clock rate of 3.3 GHz and a transmission wavelength of 850 nm. The low jitter of the detector leads to significant reduction in the estimated quantum bit error rate and a resultant improvement in the secrecy efficiency compared to previous estimates made by use of silicon single-photon avalanche detectors.
{
"annotation_id": "a6d796aa-2db0-41ff-bb5c-b0298c86f80d",
"date_created": "2026-03-02T18:02:34.101000Z",
"date_modified": "2026-03-02T18:02:34.101000Z",
"file_hash": "78c080a14211393d32ae9c1f426175696410140f7bad0b92320b9f33f741271a",
"private": false,
"record": {
"abstract": "A superconducting single-photon detector based on a niobium nitride nanowire\nis demonstrated in an optical-fibre-based quantum key distribution test bed\noperating at a clock rate of 3.3 GHz and a transmission wavelength of 850 nm.\nThe low jitter of the detector leads to significant reduction in the estimated\nquantum bit error rate and a resultant improvement in the secrecy efficiency\ncompared to previous estimates made by use of silicon single-photon avalanche\ndetectors.",
"arxiv_id": "quant-ph/0702216",
"authors": [
"R. J. Collins",
"R. H. Hadfield",
"V. Fernandez",
"S. W. Nam",
"G. S. Buller"
],
"categories": [
"quant-ph"
],
"journal_ref": "Electronics Letters, 43 (3), pp 180-182 (2007)",
"title": "Low Timing Jitter Detector for Gigahertz Quantum Key Distribution",
"url": "https://arxiv.org/abs/quant-ph/0702216"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "ce5f59e6-d516-43b9-89d9-be98db874f0e",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}