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Cited by 534

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Processing quantum information in diamond

Open access
Wrachtrup, Jörg, Jelezko, Fedor·2006·Journal of Physics: Condensed Matter

Abstract

Quantum computing is an attractive and multidisciplinary field, which became a focus for experimental and theoretical research during the last decade. Among other systems, such as ions in traps and superconducting circuits, solid state based qubits are considered to be promising candidates for use in first experimental tests of quantum hardware. Here we report recent progress in quantum information processing with point defects in diamond. Qubits are defined as single spin states (electron or nuclear). This allows exploration of long coherence times (up to seconds for nuclear spins at cryogenic temperatures). In addition, the optical transition between ground and excited electronic states allows coupling of spin degrees of freedom to the state of the electromagnetic field. Such coupling gives access to spin state read-out via spin-selective scattering of photons. This also allows the use of spin states as robust memory for flying qubits (photons).

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Metadata

Authors
Wrachtrup, J., & Jelezko, F.
Venue
Journal of Physics: Condensed Matter
Published
2006-05-12
Volume
18
Issue
21
Pages
S807-S824
ISSN
  • 0953-8984 (ISSN-L)
  • 1361-648X
OpenAlex
W2148630812
Cited by
534
References
3
FWCI
13.02
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Processing quantum information in diamond. https://app.cochat.ai/papers/10.1088/0953-8984/18/21/s08
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Wrachtrup, J., & Jelezko, F. (2006). Processing quantum information in diamond. Journal of Physics: Condensed Matter. https://doi.org/10.1088/0953-8984/18/21/s08

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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.