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Cited by 393

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Gigahertz Dynamics of a Strongly Driven Single Quantum Spin

Fuchs, G. D., Dobrovitski, V. V., Toyli, D. M., Heremans, F. J., Awschalom, D. D.·2009·Science

Abstract

Quick Spin Flips: Quantum computation holds the tantalizing promise of vastly improving the efficiency of traditional computers. Among the many solid-state candidates for storing and manipulating quantum information, nitrogen vacancy centers in diamond are especially attractive because they can be used at room temperature and stay operational for milliseconds at a time. To use this coherence time efficiently, it is important to achieve fast manipulation of the spins in the system. Fuchs et al. (p. 1520 , published online 19 November; see the Perspective by Gerardot and Öhberg ) used pulses of strong microwave magnetic field to probe the dynamics of single spins in a nitrogen vacancy center. In this “strong-driving” nonlinear regime, extremely quick spin flips of less than a nanosecond in duration were observed, offering the possibility that up to a million operations could be performed on a single spin during its coherence time.

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Crossref · 10.1126/science.1181193

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Metadata

Authors
Fuchs, G. D., Dobrovitski, V. V., Toyli, D. M., Heremans, F. J., & Awschalom, D. D.
Venue
Science
Published
2009-12-11
Volume
326
Issue
5959
Pages
1520-1522
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2046087996
Cited by
393
References
25
FWCI
10.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gigahertz Dynamics of a Strongly Driven Single Quantum Spin. https://app.cochat.ai/papers/10.1126/science.1181193
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Fuchs, G. D., Dobrovitski, V. V., Toyli, D. M., Heremans, F. J., & Awschalom, D. D. (2009). Gigahertz Dynamics of a Strongly Driven Single Quantum Spin. Science. https://doi.org/10.1126/science.1181193

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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.