Cited by 1,544Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureSuperconducting and THz Device Technology

Superconducting Qubits: Current State of Play

Open access
Kjaergaard, Morten, Schwartz, Mollie E., Braumüller, Jochen, Krantz, Philip, Wang, Joel I.-J., Gustavsson, Simon, Oliver, William D.·2020·Annual Review of Condensed Matter Physics

Abstract

Superconducting qubits are leading candidates in the race to build a quantum computer capable of realizing computations beyond the reach of modern supercomputers. The superconducting qubit modality has been used to demonstrate prototype algorithms in the noisy intermediate-scale quantum (NISQ) technology era, in which non-error-corrected qubits are used to implement quantum simulations and quantum algorithms. With the recent demonstrations of multiple high-fidelity, two-qubit gates as well as operations on logical qubits in extensible superconducting qubit systems, this modality also holds promise for the longer-term goal of building larger-scale error-corrected quantum computers. In this brief review, we discuss several of the recent experimental advances in qubit hardware, gate implementations, readout capabilities, early NISQ algorithm implementations, and quantum error correction using superconducting qubits. Although continued work on many aspects of this technology is certainly necessary, the pace of both conceptual and technical progress in recent years has been impressive, and here we hope to convey the excitement stemming from this progress.

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  • Not all cavity EO devices use the coupled-ring-resonator approach; other designs exploit neighboring longitudinal or transverse optical modes of a single optical resonator, but the principle of operation is the same.

    “Not all cavity EO devices use this coupled-ring-resonator approach; other designs exploit neighboring longitudinal [264] or transverse [190,262,265] optical modes of a single optical resonator, but the principle of operation is the same.”

    From Integrated photonics on thin-film lithium niobate (2021) · cites this paper as [264]

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Authors
Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D.
Affiliations
  • Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
  • MIT Lincoln Laboratory (US)
  • Massachusetts Institute of Technology (US)
  • Chalmers University of Technology (SE)
Venue
Annual Review of Condensed Matter Physics
Published
2020-03-10
Volume
11
Issue
1
Pages
369-395
ISSN
  • 1947-5454 (ISSN-L)
  • 1947-5462
OpenAlex
W2947902637
Cited by
1,544
References
184
Citations by year
2026: 233 · 2025: 333 · 2024: 269 · 2023: 230 · 2022: 219 · 2021: 192 · 2020: 68
FWCI
7.86
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Annual Review of Condensed Matter Physics (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • Chalmers Research (Chalmers University of Technology) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (FA8721-05-C-0002, 1720311)
  • Office of the Director of National Intelligence
  • Knut och Alice Wallenbergs Stiftelse
  • Intelligence Advanced Research Projects Activity (FA8721-05-C-0002)
  • Multidisciplinary University Research Initiative (W911NF1810218)
  • Wallenberg Centre for Molecular and Translational Medicine
  • Wallenberg Center for Quantum Technology, Chalmers University of Technology
  • Army Research Office (W911NF-18-1-0116, W911NF1810218, W911NF-18-1-0411, W911NF-14-1, W911NF-141-0682, W911NF)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Superconducting and THz Device Technology
Keywords
superconducting qubits, quantum computing hardware, noisy intermediate-scale quantum computing, two-qubit gate fidelity, qubit readout, logical qubits, quantum error correction, quantum algorithms, quantum simulation

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