Scalable loading of a two-dimensional trapped-ion array
Open accessAbstract
Two-dimensional arrays of trapped-ion qubits are attractive platforms for scalable quantum information processing. Sufficiently rapid reloading capable of sustaining a large array, however, remains a significant challenge. Here with the use of a continuous flux of pre-cooled neutral atoms from a remotely located source, we achieve fast loading of a single ion per site while maintaining long trap lifetimes and without disturbing the coherence of an ion quantum bit in an adjacent site. This demonstration satisfies all major criteria necessary for loading and reloading extensive two-dimensional arrays, as will be required for large-scale quantum information processing. Moreover, the already high loading rate can be increased by loading ions in parallel with only a concomitant increase in photo-ionization laser power and no need for additional atomic flux.
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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 [24]
The citation is attached to coupling multiple surface-trap die. The Results (Ion-trapping system) describe four traps on an array, and Methods (Trap chip fabrication) describes a single trap chip; neither addresses coupling separate die. Searches for chip-to-chip coupling and transport between separate traps found no passage establishing that point. (LLM, conf=0.73)
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Trapped-ion quantum computing: Progress and challenges
Bruzewicz, C. D., Chiaverini, J., McConnell, R., & Sage, J. M. (2019) · Applied Physics Reviews · doi:10.1063/1.5088164 · Cited by 1,483 · see citing works
Self-citationMaterials challenges and opportunities for quantum computing hardware
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A Race-Track Trapped-Ion Quantum Processor
Moses, S. A., Baldwin, C. H., Allman, M. S., Ancona, R., Ascarrunz, L., Barnes, C., Bartolotta, J., Bjork, B., Blanchard, P., Bohn, M., et al. (2023) · Physical Review X · doi:10.1103/physrevx.13.041052 · Cited by 391 · see citing works
Integrated multi-wavelength control of an ion qubit
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Self-citationHigh-fidelity transport of trapped-ion qubits in a multilayer array
Palani, D., Hasse, F., Kiefer, P., Boeckling, F., Schroeder, J.-P., Warring, U., & Schaetz, T. (2023) · Physical Review A · doi:10.1103/physreva.107.l050601 · Cited by 9 · see citing works
- Authors
- Bruzewicz, C. D., McConnell, R., Chiaverini, J., & Sage, J. M.
- Affiliations
- MIT Lincoln Laboratory (US)
- Corresponding author
- Bruzewicz, Colin D.
- Venue
- Nature Communications
- Published
- 2016-09-28
- Volume
- 7
- Issue
- 1
- Pages
- 13005-13005
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5052790
- OpenAlex
- W2152424865
- Cited by
- 50
- References
- 3
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 2 · 2020: 7 · 2019: 11 · 2018: 3 · 2017: 2 · 2016: 1
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- arXiv (Cornell University)
- Nature
- Funders
- National Institute of Environmental Health Sciences (27306C0002, 27304C0002)
- 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
- trapped-ion qubits, ion loading, reloading, trap lifetime, decoherence, scalable quantum computing
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