The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nonclassical statistics of fields in pair coherent states
Abstract
We examine the nonclassical properties of the pair coherent states defined as the simultaneous eigenstates of the operator that annihilates photons in pairs and of the operator that gives the relative occupation number in the two modes. We show that fields in such states have remarkable quantum features such as sub-Poissonian statistics correlations in the number fluctuations, squeezing, and violations of Cauchy–Schwarz inequalities. We show how such pair coherent states can be generated by the competition of different nonlinear processes in a two-photon medium. The quantam features occur not only in the transient domain but also survive in the steady state because of the balance between nonlinear processes.
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Citations
Cites
Observation of nonclassical effects in the interference of two photons
Ghosh, R., & Mandel, L. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.1903 · Cited by 371
Cited by
Multiphoton quantum optics and quantum state engineering
Dell’Anno, F., De Siena, S., & Illuminati, F. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.01.004 · Cited by 310
Metadata
- Authors
- Agarwal, G. S.
- Venue
- Journal of the Optical Society of America B
- Publisher
- Optica Publishing Group
- Published
- 1988-09-01
- Volume
- 5
- Issue
- 9
- Pages
- 1940
- ISSN
- 0740-3224 (ISSN-L)
- 1520-8540
- OpenAlex
- W2147857703
- Cited by
- 345
- References
- 1
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Agarwal, G. S. (1988). Nonclassical statistics of fields in pair coherent states. Journal of the Optical Society of America B. https://doi.org/10.1364/josab.5.001940
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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.
