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Quantum feedback: Theory, experiments, and applications
Open accessAbstract
The control of individual quantum systems is now a reality in a variety of physical settings. Feedback control is an important class of control methods because of its ability to reduce the effects of noise. In this review we give an introductory overview of the various ways in which feedback may be implemented in quantum systems, the theoretical methods that are currently used to treat it, the experiments in which it has been demonstrated to-date, and its applications. In the last few years there has been rapid experimental progress in the ability to realize quantum measurement and control of mesoscopic systems. We expect that the next few years will see further rapid advances in the precision and sophistication of feedback control protocols realized in the laboratory.
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Karasik, R. I., & Wiseman, H. M. (2011) · Physical Review A · doi:10.1103/physreva.84.052120 · Cited by 4
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Metadata
- Authors
- Zhang, J., Liu, Y.-X., Wu, R.-B., Jacobs, K., & Nori, F.
- Venue
- Physics Reports
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 679
- Pages
- 1-60
- ISSN
- 0370-1573 (ISSN-L)
- OpenAlex
- W1814745027
- Cited by
- 272
- References
- 322
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.