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Cited by 191

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Multilayer microwave integrated quantum circuits for scalable quantum computing

Open access
Brecht, Teresa, Pfaff, Wolfgang, Wang, Chen, Chu, Yiwen, Frunzio, Luigi, Devoret, Michel H, Schoelkopf, Robert J·2016·npj Quantum Information

Abstract

As experimental quantum information processing (QIP) rapidly advances, an emerging challenge is to design a scalable architecture that combines various quantum elements into a complex device without compromising their performance. In particular, superconducting quantum circuits have successfully demonstrated many of the requirements for quantum computing, including coherence levels that approach the thresholds for scaling. However, it remains challenging to couple a large number of circuit components through controllable channels while suppressing any other interactions. We propose a hardware platform intended to address these challenges, which combines the advantages of integrated circuit fabrication and the long coherence times achievable in three-dimensional circuit quantum electrodynamics. This multilayer microwave integrated quantum circuit platform provides a path towards the realisation of increasingly complex superconducting devices in pursuit of a scalable quantum computer.

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Crossref · 10.1038/npjqi.2016.2

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Metadata

Authors
Brecht, T., Pfaff, W., Wang, C., Chu, Y., Frunzio, L., Devoret, M. H., & Schoelkopf, R. J.
Venue
npj Quantum Information
Published
2016-02-23
Volume
2
Issue
1
ISSN
2056-6387 (ISSN-L)
OpenAlex
W2962949215
Cited by
191
References
4
FWCI
21.30
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Multilayer microwave integrated quantum circuits for scalable quantum computing. https://app.cochat.ai/papers/10.1038/npjqi.2016.2
The paper
Brecht, T., Pfaff, W., Wang, C., Chu, Y., Frunzio, L., Devoret, M. H., & Schoelkopf, R. J. (2016). Multilayer microwave integrated quantum circuits for scalable quantum computing. npj Quantum Information. https://doi.org/10.1038/npjqi.2016.2

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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.