The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantum noise and excess noise in optical homodyne and heterodyne receivers
Abstract
A parallel development of the semiclassical and quantum statistics of multispatiotemporal mode direct, homodyne, and heterodyne detection using an ideal (except for its subunity quantum efficiency) photon detector is presented. Particular emphasis is placed on the latter two coherent detection Configurations. The primary intent is to delineate the semiclassical theory's regime of validity and to show, within this regime of validity, how the quantum theory's signal quantum noise, local oscillator quantum noise, the quantum noise incurred because of subunity detector quantum efficiency, plus (for heterodyning only) image band quantum noise produce the quantitative equivalent of the semiclassical theory's local oscillator shot noise. The effects of classical fluctuations on the local oscillator, and the recently suggested dual-detector arrangement for suppressing these fluctuations, are treated. It is Shown that previous studies of this arrangement have neglected a potentially significant noise contribution.
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Citations
Cites
Quantum-mechanical noise in an interferometer
Caves, C. M. (1981) · Physical Review D · doi:10.1103/physrevd.23.1693 · Cited by 3,202
Cited by
The Quantum Theory of Optical Communications
Shapiro, J. H. (2009) · IEEE Journal of Selected Topics in Quantum Electronics · doi:10.1109/jstqe.2009.2024959 · Cited by 145
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Metadata
- Authors
- Shapiro, J.
- Venue
- IEEE Journal of Quantum Electronics
- Published
- 1985-03
- Volume
- 21
- Issue
- 3
- Pages
- 237-250
- ISSN
- 0018-9197 (ISSN-L)
- OpenAlex
- W2003849612
- Cited by
- 171
- References
- 1
- FWCI
- 14.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shapiro, J. (1985). Quantum noise and excess noise in optical homodyne and heterodyne receivers. IEEE Journal of Quantum Electronics. https://doi.org/10.1109/jqe.1985.1072640
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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.