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Cited by 639

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Deterministically Encoding Quantum Information Using 100-Photon Schrödinger Cat States

Vlastakis, Brian, Kirchmair, Gerhard, Leghtas, Zaki, Nigg, Simon E., Frunzio, Luigi, Girvin, S. M., Mirrahimi, Mazyar, Devoret, M. H., Schoelkopf, R. J.·2013·Science

Abstract

Coherently Controlling Large Cats: The control and manipulation of quantum information based on superconducting circuits is an attractive route because of the possibility of scale-up. Vlastakis et al. (p. 607 , published online 26 September; see the Perspective by Leek ) were able to generate and control quantum entanglement between a superconducting qubit and hundreds of photons stored in a cavity resonator by using deterministic methods for on-demand generation of large Schrödinger cat states in a microwave cavity with arbitrary size and phase. The ability to map the state of a qubit to large Schrödinger cat states should provide a robust quantum resource in future quantum-based technologies.

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Crossref · 10.1126/science.1243289

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Metadata

Authors
Vlastakis, B., Kirchmair, G., Leghtas, Z., Nigg, S. E., Frunzio, L., Girvin, S. M., Mirrahimi, M., Devoret, M. H., & Schoelkopf, R. J.
Venue
Science
Published
2013-11
Volume
342
Issue
6158
Pages
607-610
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1970935766
Cited by
639
References
5
FWCI
43.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Deterministically Encoding Quantum Information Using 100-Photon Schrödinger Cat States. https://app.cochat.ai/papers/10.1126/science.1243289
The paper
Vlastakis, B., Kirchmair, G., Leghtas, Z., Nigg, S. E., Frunzio, L., Girvin, S. M., Mirrahimi, M., Devoret, M. H., & Schoelkopf, R. J. (2013). Deterministically Encoding Quantum Information Using 100-Photon Schrödinger Cat States. Science. https://doi.org/10.1126/science.1243289

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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.