dorsal/arxiv
View SchemaEfficient microwave-induced optical frequency conversion
| Authors | D. V. Kosachiov, E. A. Korsunsky |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/9912063 |
| URL | https://arxiv.org/abs/quant-ph/9912063 |
| DOI | 10.1007/s100530070073 |
Abstract
Frequency conversion process is studied in a medium of atoms with a $\Lambda$ configuration of levels, where transition between two lower states is driven by a microwave field. In this system, conversion efficiency can be very high by virtue of the effect of electromagnetically induced transparency (EIT). Depending on intensity of the microwave field, two regimes of EIT are realized: ''dark-state'' EIT for the weak field, and Autler-Townes-type EIT for the strong one. We study both cases via analytical and numerical solution and find optimum conditions for the conversion.
{
"annotation_id": "e09fda6d-d794-471d-b3db-3dac5880a4e4",
"date_created": "2026-03-02T18:02:48Z",
"date_modified": "2026-03-02T18:02:48Z",
"file_hash": "7d70d5eb2f0e30e033092f5646bb818b66d14534d339f855374bfcee01b66acc",
"private": false,
"record": {
"abstract": "Frequency conversion process is studied in a medium of atoms with a $\\Lambda$\nconfiguration of levels, where transition between two lower states is driven by\na microwave field. In this system, conversion efficiency can be very high by\nvirtue of the effect of electromagnetically induced transparency (EIT).\nDepending on intensity of the microwave field, two regimes of EIT are realized:\n\u0027\u0027dark-state\u0027\u0027 EIT for the weak field, and Autler-Townes-type EIT for the\nstrong one. We study both cases via analytical and numerical solution and find\noptimum conditions for the conversion.",
"arxiv_id": "quant-ph/9912063",
"authors": [
"D. V. Kosachiov",
"E. A. Korsunsky"
],
"categories": [
"quant-ph"
],
"doi": "10.1007/s100530070073",
"title": "Efficient microwave-induced optical frequency conversion",
"url": "https://arxiv.org/abs/quant-ph/9912063"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "2a44f32a-006c-4741-a09e-1aa376bc2eba",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}