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Cited by 264

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Symmetrized Characterization of Noisy Quantum Processes

Open access
Emerson, Joseph, Silva, Marcus, Moussa, Osama, Ryan, Colm, Laforest, Martin, Baugh, Jonathan, Cory, David G., Laflamme, Raymond·2007·Science

Abstract

A major goal of developing high-precision control of many-body quantum systems is to realize their potential as quantum computers. A substantial obstacle to this is the extreme fragility of quantum systems to “decoherence” from environmental noise and other control limitations. Although quantum computation is possible if the noise affecting the quantum system satisfies certain conditions, existing methods for noise characterization are intractable for present multibody systems. We introduce a technique based on symmetrization that enables direct experimental measurement of some key properties of the decoherence affecting a quantum system. Our method reduces the number of experiments required from exponential to polynomial in the number of subsystems. The technique is demonstrated for the optimization of control over nuclear spins in the solid state.

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Crossref · 10.1126/science.1145699

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Metadata

Authors
Emerson, J., Silva, M., Moussa, O., Ryan, C., Laforest, M., Baugh, J., Cory, D. G., & Laflamme, R.
Venue
Science
Published
2007-09-28
Volume
317
Issue
5846
Pages
1893-1896
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2054324003
Cited by
264
References
6
FWCI
18.12
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Symmetrized Characterization of Noisy Quantum Processes. https://app.cochat.ai/papers/10.1126/science.1145699
The paper
Emerson, J., Silva, M., Moussa, O., Ryan, C., Laforest, M., Baugh, J., Cory, D. G., & Laflamme, R. (2007). Symmetrized Characterization of Noisy Quantum Processes. Science. https://doi.org/10.1126/science.1145699

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.