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Cited by 185

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

Hydrogenic Spin Quantum Computing in Silicon: A Digital Approach

Open access
Skinner, A. J., Davenport, M. E., Kane, B. E.·2003·Physical Review Letters

Abstract

We suggest an architecture for quantum computing with spin-pair encoded qubits in silicon. Electron-nuclear spin-pairs are controlled by a dc magnetic field and electrode-switched on and off hyperfine interaction. This digital processing is insensitive to tuning errors and easy to model. Electron shuttling between donors enables multiqubit logic. These hydrogenic spin qubits are transferable to nuclear spin-pairs, which have long coherence times, and electron spin-pairs, which are ideally suited for measurement and initialization. The architecture is scalable to a highly parallel operation.

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Crossref · 10.1103/physrevlett.90.087901

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Metadata

Authors
Skinner, A. J., Davenport, M. E., & Kane, B. E.
Venue
Physical Review Letters
Published
2003-02-25
Volume
90
Issue
8
Pages
087901-087901
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2044764022
Cited by
185
References
3
FWCI
14.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hydrogenic Spin Quantum Computing in Silicon: A Digital Approach. https://app.cochat.ai/papers/10.1103/physrevlett.90.087901
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Skinner, A. J., Davenport, M. E., & Kane, B. E. (2003). Hydrogenic Spin Quantum Computing in Silicon: A Digital Approach. Physical Review Letters. https://doi.org/10.1103/physrevlett.90.087901

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.