Experimental comparison of two quantum computing architectures
Open accessAbstract
Significance: Quantum computers are an emerging technology promising to be vastly more powerful at solving certain problems than any conventional computer. These devices are now moving out of the laboratory and becoming generally programmable. This allows identical quantum tasks or algorithms to be implemented on radically different technologies to inform further development and scaling. We run a series of algorithms on the two leading platforms: trapped atomic ions and superconducting circuits. Whereas the superconducting system offers faster gate clock speeds and a solid-state platform, the ion-trap system features superior qubits and reconfigurable connections. The performance of these systems is seen to reflect the topology of connections in the base hardware, supporting the idea that quantum computer applications and hardware should be codesigned.
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Ion trap quantum computers have full connectivity among qubits.
“We choose the ion trap because of its full connectivity among qubits 37 which allows us to study several circuit layouts on the same device.”
From A generative modeling approach for benchmarking and training shallow quantum circuits (2019) · cites this paper as [37]
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- Authors
- Linke, N. M., Maslov, D., Roetteler, M., Debnath, S., Figgatt, C., Landsman, K. A., Wright, K., & Monroe, C.
- Affiliations
- Joint Center for Quantum Information and Computer Science (US)
- U.S. National Science Foundation (US)
- Microsoft (United States) (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-03-21
- Volume
- 114
- Issue
- 13
- Pages
- 3305-3310
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5380037
- OpenAlex
- W2586874551
- Cited by
- 508
- References
- 40
- Citations by year
- 2026: 22 · 2025: 38 · 2024: 50 · 2023: 43 · 2022: 58 · 2021: 75 · 2020: 80 · 2019: 75 · 2018: 46 · 2017: 21
- FWCI
- 35.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- IARPA LogiQ Program (3130638)
- AFOSR MURI Program (5710003628)
- NSF Physics Frontier Centers (PHY0822671)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- transmon qubits, superconducting quantum computing, trapped-ion qubits, qubit connectivity
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