dorsal/arxiv
View SchemaExceeding the Manley-Rowe quantum efficiency limit in an optically pumped THz amplifier
| Authors | Ines Waldmueller, Michael C. Wanke, Weng W. Chow |
|---|---|
| Categories | |
| ArXiv ID | physics/0611061 |
| URL | https://arxiv.org/abs/physics/0611061 |
| DOI | 10.1103/PhysRevLett.99.117401 |
Abstract
Using a microscopic theory based on the Maxwell-semiconductor Bloch equations, we investigate the possibility of an optically-assisted electrically-driven THz quantum cascade laser. Whereas in optical conversion schemes the power conversion efficiency is limited by the Manley-Rowe relation, the proposed optically-assisted scheme can achieve higher efficiency by coherently recovering the optical pump energy. Furthermore, due to quantum coherence effects the detrimental effects of scattering are mitigated.
{
"annotation_id": "9e1428bc-86d3-4e0b-8a4a-c336587f9f6c",
"date_created": "2026-03-02T18:01:14.690000Z",
"date_modified": "2026-03-02T18:01:14.690000Z",
"file_hash": "337d453e2122a1c3bc49adb451dcebce7b735ba672dd45677be4395a9fa76340",
"private": false,
"record": {
"abstract": "Using a microscopic theory based on the Maxwell-semiconductor Bloch\nequations, we investigate the possibility of an optically-assisted\nelectrically-driven THz quantum cascade laser. Whereas in optical conversion\nschemes the power conversion efficiency is limited by the Manley-Rowe relation,\nthe proposed optically-assisted scheme can achieve higher efficiency by\ncoherently recovering the optical pump energy. Furthermore, due to quantum\ncoherence effects the detrimental effects of scattering are mitigated.",
"arxiv_id": "physics/0611061",
"authors": [
"Ines Waldmueller",
"Michael C. Wanke",
"Weng W. Chow"
],
"categories": [
"physics.optics"
],
"doi": "10.1103/PhysRevLett.99.117401",
"title": "Exceeding the Manley-Rowe quantum efficiency limit in an optically pumped THz amplifier",
"url": "https://arxiv.org/abs/physics/0611061"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "029a3ed3-eb23-4af2-8ed2-176428eb83d8",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}