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Cited by 174

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

Coherent State Evolution in a Superconducting Qubit from Partial-Collapse Measurement

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

Abstract

Measurement is one of the fundamental building blocks of quantum-information processing systems. Partial measurement, where full wavefunction collapse is not the only outcome, provides a detailed test of the measurement process. We introduce quantum-state tomography in a superconducting qubit that exhibits high-fidelity single-shot measurement. For the two probabilistic outcomes of partial measurement, we find either a full collapse or a coherent yet nonunitary evolution of the state. This latter behavior explicitly confirms modern quantum-measurement theory and may prove important for error-correction algorithms in quantum computation.

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Crossref · 10.1126/science.1126475

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Metadata

Authors
Katz, N., Ansmann, M., Bialczak, R. C., Lucero, E., McDermott, R., Neeley, M., Steffen, M., Weig, E. M., Cleland, A. N., Martinis, J. M., & Korotkov, A. N.
Venue
Science
Published
2006-06-09
Volume
312
Issue
5779
Pages
1498-1500
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2165446084
Cited by
174
References
4
FWCI
17.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Coherent State Evolution in a Superconducting Qubit from Partial-Collapse Measurement. https://app.cochat.ai/papers/10.1126/science.1126475
The paper
Katz, N., Ansmann, M., Bialczak, R. C., Lucero, E., McDermott, R., Neeley, M., Steffen, M., Weig, E. M., Cleland, A. N., Martinis, J. M., & Korotkov, A. N. (2006). Coherent State Evolution in a Superconducting Qubit from Partial-Collapse Measurement. Science. https://doi.org/10.1126/science.1126475

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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.