High-fidelity transport of trapped-ion qubits in a multilayer array
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The authors investigate a trapped-ion architecture with thirteen trapping sites for quantum control of multiple particles. They demonstrate automated qubit loading and shuttling within a three-dimensional trapping landscape, achieving a high success rate while preserving coherence.
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The rf drive has undesirable features that make micro-trap arrays difficult to operate, including substantial power dissipation due to currents flowing in the electrodes and the need to co-align the rf and static potentials to minimize micromotion, which affects gate operations.
“This adds to several other undesirable features of the rf drive that make micro-trap arrays difficult to operate6, including substantial power dissipation due to the currents flowing in the electrodes, and the need to co-align the rf and static potentials of the trap to minimize micromotion, which affects gate operations22,23.”
From Penning micro-trap for quantum computing (2024) · cites this paper as [6]
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Experimental — accuracy not yet measuredThe use of radio-frequency fields in trapped-ion traps presents several challenges to scaling, including requiring compatibility of chips with high voltages, managing power dissipation, and restricting transport and placement of ions.
“However, the use of radio-frequencies presents several challenges to scaling, including requiring compatibility of chips with high voltages4, managing power dissipation5 and restricting transport and placement of ions6.”
From Penning micro-trap for quantum computing (2024) · cites this paper as [6]
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“However, the use of radio-frequencies presents several challenges to scaling, including requiring compatibility of chips with high voltages 4 , managing power dissipation 5 and restricting transport and placement of ions 6 .”
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Self-citation
- Authors
- Palani, D., Hasse, F., Kiefer, P., Boeckling, F., Schroeder, J.-P., Warring, U., & Schaetz, T.
- Affiliations
- University of Freiburg (DE)
- ORCID
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 2023-05-26
- Volume
- 107
- Issue
- 5
- ISSN
- 0556-2791 (ISSN-L)
- 2469-9926
- 2469-9934
- OpenAlex
- W4378375632
- Cited by
- 9
- References
- 47
- Citations by year
- 2025: 5 · 2024: 3 · 2023: 1
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Physical Review A (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Deutsche Forschungsgemeinschaft (SCHA 973/6-3)
- Georg H. Endress Foundation
- 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, three-dimensional trapping, quantum coherence
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