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Cited by 685

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Quantum Theory of an Optical Maser. I. General Theory

Scully, Marlan O., Lamb, Willis E.·1967·Physical Review
DOI 10.1103/physrev.159.208
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Abstract

A quantum statistical analysis of an optical maser is presented in generalization of the recent semiclassical theory of Lamb. Equations of motion for the density matrix of the quantized electromagnetic field are derived. These equations describe the irreversible dynamics of the laser radiation in all regions of operation (above, below, and at threshold). Nonlinearities play an essential role in this problem. The diagonal equations of motion for the radiation are found to have an apparent physical interpretation. At steady state, these equations may be solved via detailed-balance considerations to yield the photon statistical distribution ${\ensuremath{\rho}}_{n,n}$. The resulting distribution has a variance which is significantly larger than that for coherent light. The off-diagonal elements of the radiation density matrix describe the effects of phase diffusion in general and provide the spectral profile ${| E(\ensuremath{\omega}) |}^{2}$ as a special case. A detailed discussion of the physics involved in this paper is given in the concluding sections. The theory of the laser adds another example to the short list of solved problems in irreversible quantum statistical mechanics.

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Metadata

Authors
Scully, M. O., & Lamb, W. E.
Venue
Physical Review
Publisher
American Physical Society (APS)
Published
1967-07-10
Volume
159
Issue
2
Pages
208-226
ISSN
0031-899X (ISSN-L)
DOI
10.1103/physrev.159.208
OpenAlex
W2000194989
Cited by
685
References
15
FWCI
13.59
Type
journal article
Language
en
Open access
closed

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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.