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Cited by 250Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Co-designing a scalable quantum computer with trapped atomic ions

Open access
Brown, Kenneth R, Kim, Jungsang, Monroe, Christopher·2016·npj Quantum Information
DOI 10.1038/npjqi.2016.34
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Abstract

The first generation of quantum computers are on the horizon, fabricated from quantum hardware platforms that may soon be able to tackle certain tasks that cannot be performed or modelled with conventional computers. These quantum devices will not likely be universal or fully programmable, but special-purpose processors whose hardware will be tightly co-designed with particular target applications. Trapped atomic ions are a leading platform for first-generation quantum computers, but they are also fundamentally scalable to more powerful general purpose devices in future generations. This is because trapped ion qubits are atomic clock standards that can be made identical to a part in 10 15, and their quantum circuit connectivity can be reconfigured through the use of external fields, without modifying the arrangement or architecture of the qubits themselves. In this forward-looking overview, we show how a modular quantum computer with thousands or more qubits can be engineered from ion crystals, and how the linkage between ion trap qubits might be tailored to a variety of applications and quantum-computing protocols.

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  • The future of QCCD systems is likely in 2D traps that offer better scaling of rearrangement times proportional to sqrt(N) and are well suited to many error-correcting codes.

    “The future of QCCD systems is likely in 2D traps that offer better scaling of rearrangement times (proportional to ffiffiffiffi N p [17]) and are also well suited to many error-correcting codes [18,19].”

    From A Race-Track Trapped-Ion Quantum Processor (2023) · cites this paper as [19]

    The section “Linking atomic qubits with the Coulomb interaction” (page unavailable) describes QCCD shuttling through 2D junctions and warns that long-distance shuttling complexity may limit scaling. It does not give the √N rearrangement-time scaling for which [17] is cited. Its √N expression concerns gate speed in an ion crystal, not rearrangement time; the error-correcting-code claim is separately cited to [18,19]. (LLM, conf=0.78)

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Cited by

Sorted by citations

Authors
Brown, K. R., Kim, J., & Monroe, C.
Affiliations
  • Georgia Institute of Technology (US)
  • Duke University (US)
  • Joint Center for Quantum Information and Computer Science (US)
Corresponding author
Monroe, Christopher
ORCID
Venue
npj Quantum Information
Publisher
Springer Science and Business Media LLC
Published
2016-11-08
Volume
2
Issue
1
ISSN
2056-6387 (ISSN-L)
DOI
10.1038/npjqi.2016.34
OpenAlex
W2963995121
Cited by
250
References
15
Citations by year
2026: 15 · 2025: 16 · 2024: 26 · 2023: 29 · 2022: 28 · 2021: 45 · 2020: 35 · 2019: 23 · 2018: 21 · 2017: 9 · 2016: 3
FWCI
15.38
Type
journal article
Language
en
Open access
Licence
Locations
  • npj Quantum Information (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation
  • Defense Advanced Research Projects Agency
  • Intelligence Advanced Research Projects Activity
  • Multidisciplinary University Research Initiative
  • Air Force Office of Scientific Research
  • Army Research Office
  • Army Research Laboratory
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 › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
Keywords
trapped atomic ions, quantum computing, scalability, ionic crystals, co-design

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