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Cited by 552

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Measurement of the Entanglement of Two Superconducting Qubits via State Tomography

Open access
Steffen, Matthias, Ansmann, M., Bialczak, Radoslaw C., Katz, N., Lucero, Erik, McDermott, R., Neeley, Matthew, Weig, E. M., Cleland, A. N., Martinis, John M.·2006·Science

Abstract

Demonstration of quantum entanglement, a key resource in quantum computation arising from a nonclassical correlation of states, requires complete measurement of all states in varying bases. By using simultaneous measurement and state tomography, we demonstrated entanglement between two solid-state qubits. Single qubit operations and capacitive coupling between two super-conducting phase qubits were used to generate a Bell-type state. Full two-qubit tomography yielded a density matrix showing an entangled state with fidelity up to 87%. Our results demonstrate a high degree of unitary control of the system, indicating that larger implementations are within reach.

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Crossref · 10.1126/science.1130886

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Metadata

Authors
Steffen, M., Ansmann, M., Bialczak, R. C., Katz, N., Lucero, E., McDermott, R., Neeley, M., Weig, E. M., Cleland, A. N., & Martinis, J. M.
Venue
Science
Published
2006-09-08
Volume
313
Issue
5792
Pages
1423-1425
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1979089304
Cited by
552
References
4
FWCI
54.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Measurement of the Entanglement of Two Superconducting Qubits via State Tomography. https://app.cochat.ai/papers/10.1126/science.1130886
The paper
Steffen, M., Ansmann, M., Bialczak, R. C., Katz, N., Lucero, E., McDermott, R., Neeley, M., Weig, E. M., Cleland, A. N., & Martinis, J. M. (2006). Measurement of the Entanglement of Two Superconducting Qubits via State Tomography. Science. https://doi.org/10.1126/science.1130886

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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.