Toward scalable ion traps for quantum information processing
Open accessAbstract
In this paper, we report the design, fabrication and preliminary testing of a 150 zone ion trap array built in a 'surface-electrode' geometry microfabricated on a single substrate. We demonstrate the transport of atomic ions between the legs of a 'Y'-type junction and measure the in-situ heating rates for the ions. The trap design demonstrates the use of a basic component design library that can be quickly assembled to form structures optimized for a particular experiment.
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Helios uses a four-way 'X' junction to connect memory regions to quantum logic regions without increasing electrical control or device fabrication complexity.
“Second, Helios uses a four-way ‘X’ junction10,11,29–35 to connect memory regions to quantum logic regions without increasing electrical control or device fabrication complexity.”
From A 98-qubit trapped-ion quantum computer with all-to-all connectivity (2026) · cites this paper as [33]
Many other aspects of QCCD scaling still in development include coupling multiple surface trap die, control of a sufficient number of electrodes, laser-light generation and delivery, and detection.
“Many other aspects of QCCD scaling still in development include coupling multiple surface trap die [22,23], control of a sufficient number of electrodes, laser-light generation and delivery [24,25], and detection [26].”
From A Race-Track Trapped-Ion Quantum Processor (2023) · cites this paper as [25]
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- Authors
- Amini, J. M., Uys, H., Wesenberg, J. H., Seidelin, S., Britton, J., Bollinger, J. J., Leibfried, D., Ospelkaus, C., VanDevender, A. P., & Wineland, D. J.
- Affiliations
- Georgia Institute of Technology (US)
- National Institute of Standards and Technology (US)
- Centre for Quantum Technologies (SG)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Bollinger, J J
- ORCID
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2010-03-16
- Volume
- 12
- Issue
- 3
- Pages
- 033031
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2119688286
- Cited by
- 183
- References
- 31
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 6 · 2023: 8 · 2022: 10 · 2021: 11 · 2020: 13 · 2019: 10 · 2018: 6 · 2017: 11 · 2016: 10 · 2015: 9 · 2014: 10 · 2013: 22 · 2012: 8
- FWCI
- 21.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- New Journal of Physics (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- National University of Singapore (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Institute of Standards and Technology
- Intelligence Advanced Research Projects Activity
- Office of Naval Research
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Keywords
- ion trap, ion trap arrays, microfabrication, in situ heating, quantum information processing
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