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Resonance fluorescence from an atom in a squeezed vacuum
Abstract
The fluorescent spectrum for a two-level atom which is damped by a squeezed vacuum shows striking differences from the spectrum for ordinary resonance fluorescence. For strong coherent driving fields the Mollow triplet depends on the relative phase of the driving field and the squeezed vacuum field. The central peak may have either subnatural linewidth or supernatural linewidth depending on this phase. The mean atomic polarization also shows a phase sensitivity.
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Citations
Cited by
Spectroscopy with squeezed light
Polzik, E. S., Carri, J., & Kimble, H. J. (1992) · Physical Review Letters · doi:10.1103/physrevlett.68.3020 · Cited by 441
Quantum information processing and quantum optics with circuit quantum electrodynamics
Blais, A., Girvin, S. M., & Oliver, W. D. (2020) · Nature Physics · doi:10.1038/s41567-020-0806-z · Cited by 420
Linear intensity dependence of a two-photon transition rate
Javanainen, J., & Gould, P. L. (1990) · Physical Review A · doi:10.1103/physreva.41.5088 · Cited by 267
Metadata
- Authors
- Carmichael, H. J., Lane, A. S., & Walls, D. F.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1987-06-15
- Volume
- 58
- Issue
- 24
- Pages
- 2539-2542
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W2037633243
- Cited by
- 282
- References
- 0
- FWCI
- 14.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Resonance fluorescence from an atom in a squeezed vacuum. https://app.cochat.ai/papers/10.1103/physrevlett.58.2539
- The paper
- Carmichael, H. J., Lane, A. S., & Walls, D. F. (1987). Resonance fluorescence from an atom in a squeezed vacuum. Physical Review Letters. https://doi.org/10.1103/physrevlett.58.2539
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
