The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A high-fidelity noiseless amplifier for quantum light states
Open accessAbstract
Researchers demonstrate a probabilistic noiseless linear amplifier based on photon addition and subtraction. The technique enables coherent states to be amplified to the highest levels of effective gain and final-state fidelity, and could become an essential tool for applications in quantum communication and metrology.
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Citations
Cites
Correlated input-port, matter-wave interferometer: Quantum-noise limits to the atom-laser gyroscope
Dowling, J. P. (1998) · Physical Review A · doi:10.1103/physreva.57.4736 · Cited by 319
Cited by
Photonic quantum information processing: a concise review
Slussarenko, S., & Pryde, G. J. (2019) · Applied Physics Reviews · doi:10.1063/1.5115814 · Cited by 644
Hybrid discrete- and continuous-variable quantum information
Andersen, U. L., Neergaard-Nielsen, J. S., van Loock, P., & Furusawa, A. (2015) · Nature Physics · doi:10.1038/nphys3410 · Cited by 437
Heralded noiseless amplification of a photon polarization qubit
Kocsis, S., Xiang, G. Y., Ralph, T. C., & Pryde, G. J. (2013) · Nature Physics · doi:10.1038/nphys2469 · Cited by 128
Quantum cloning machines and the applications
Fan, H., Wang, Y.-N., Jing, L., Yue, J.-D., Shi, H.-D., Zhang, Y.-L., & Mu, L.-Z. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.06.004 · Cited by 121
Metadata
- Authors
- Zavatta, A., Fiurášek, J., & Bellini, M.
- Venue
- Nature Photonics
- Published
- 2010-11-21
- Volume
- 5
- Issue
- 1
- Pages
- 52-56
- ISSN
- 1749-4885 (ISSN-L)
- 1749-4893
- OpenAlex
- W1974533821
- Cited by
- 264
- References
- 1
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Zavatta, A., Fiurášek, J., & Bellini, M. (2011). A high-fidelity noiseless amplifier for quantum light states. Nature Photonics. https://doi.org/10.1038/nphoton.2010.260
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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.
