Compact Ion-Trap Quantum Computing Demonstrator
Open accessAbstract
Quantum information processing is steadily progressing from a purely academic discipline towards applications throughout science and industry.Transitioning from lab-based, proof-of-concept experiments to robust, integrated realizations of quantum information processing hardware is an important step in this process.However, the nature of traditional laboratory setups does not offer itself readily to scaling up system sizes or allow for applications outside of laboratory-grade environments.This transition requires overcoming challenges in engineering and integration without sacrificing the state-of-the-art performance of laboratory implementations.Here, we present a 19-inch rack quantum computing demonstrator based on 40 Ca + optical qubits in a linear Paul trap to address many of these challenges.We outline the mechanical, optical, and electrical subsystems.Furthermore, we describe the automation and remote access components of the quantum computing stack.We conclude by describing characterization measurements relevant to quantum computing including site-resolved single-qubit interactions, and entangling operations mediated by the Mølmer-Sørensen interaction delivered via two distinct addressing approaches.Using this setup, we produce maximally entangled Greenberger-Horne-Zeilinger states with up to 24 ions without the use of postselection or error mitigation techniques; on par with well-established conventional laboratory setups.
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Scaling the system size of trapped-ion quantum computers to support orders-of-magnitude more qubits seems highly challenging.
“However, scaling the system size to support orders-of-magnitude more qubits8,9 seems highly challenging10–13.”
From Penning micro-trap for quantum computing (2024) · cites this paper as [10]
For a constant depolarizing error channel on each 2Q gate, u is given by an analytic formula [Eq.(C4) in Ref. [57]].
“For a constant depolarizing error channel on each 2Q gate, u is given by an analytic formula [Eq.(C4) in Ref. [57]].”
From A Race-Track Trapped-Ion Quantum Processor (2023) · cites this paper as [57]
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“Here we realize a micro-fabricated Penning ion trap that removes these restrictions by replacing the radio-frequency field with a 3 T magnetic field.”
Self-citationTransport of Multispecies Ion Crystals through a Junction in a Radio-Frequency Paul Trap
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- Authors
- Pogorelov, I., Feldker, T., Marciniak, C. D., Postler, L., Jacob, G., Krieglsteiner, O., Podlesnic, V., Meth, M., Negnevitsky, V., Stadler, M., Höfer, B., Wächter, C., Lakhmanskiy, K., Blatt, R., Schindler, P., & Monz, T.
- Affiliations
- Universität Innsbruck (AT)
- Alpine Quantum Technologies (Austria) (AT)
- ETH Zurich (CH)
- Fraunhofer Institute for Applied Optics and Precision Engineering (DE)
- ORCID
- Venue
- PRX Quantum
- Publisher
- American Physical Society (APS)
- Published
- 2021-06-17
- Volume
- 2
- Issue
- 2
- ISSN
- 2691-3399 (ISSN-L)
- OpenAlex
- W3124127657
- Cited by
- 387
- References
- 11
- Citations by year
- 2026: 39 · 2025: 75 · 2024: 74 · 2023: 101 · 2022: 76 · 2021: 22
- FWCI
- 24.13
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-06-30)
- Open access
- gold
- doi.org
- Licence
- Locations
- PRX Quantum (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- arXiv (Cornell University)
- ETH Zürich Research Collection (cc-by)
- Funders
- Austrian Science Fund
- European Union’s Horizon 2020 research and innovation programme
- Austrian Research Promotion Agency
- Office of the Director of National Intelligence
- Intelligence Advanced Research Projects Activity
- US ARO
- US Air Force Office of Scientific Research
- 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
- ion trap quantum computing, linear Paul trap, entangling operations, GHZ states, scalable quantum hardware
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