Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Bulletin of the American Physical Society

Performance Characterization of a Scalable Trapped Ion Based Quantum Computer

Stephen Crain, Chao Fang, Geert Vrijsen, James A. Joseph, Jungsang Kim

Published Jun 6, 2017• 0 citations
OpenAlex

Related papers

Characterization of scalable ion traps for quantum computation

R. J. Epstein, J. J. Bollinger, Dietrich G. Leibfried +13 more

Bulletin of the American Physical Society•Mar 6, 2007•0 citations

Demonstration and Characterization of Scalable Quantum Gate Operations with Trapped Ion Qubits

Chao Fang, Stephen Crain, James A. Joseph +3 more

Bulletin of the American Physical Society•May 30, 2018•0 citations

Shuttling-Based Trapped-Ion Quantum Information Processing

V. Kaushal, Bjoern Lekitsch, Alexander Stahl +7 more

Moving trapped-ion qubits in a microstructured array of radiofrequency traps offers a route towards realizing scalable quantum processing nodes. Establishing such nodes, providing sufficient functionality to represent a building block for emerging quantum technologies, e.g. a quantum computer or quantum repeater, remains a formidable technological challenge. In this review, we present a holistic view on such an architecture, including the relevant components, their characterization and their impact on the overall system performance. We present a hardware architecture based on a uniform linear segmented multilayer trap, controlled by a custom-made fast multi-channel arbitrary waveform generator. The latter allows for conducting a set of different ion shuttling operations at sufficient speed and quality. We describe the relevant parameters and performance specifications for microstructured ion traps, waveform generators and additional circuitry, along with suitable measurement schemes to verify the system performance. Furthermore, a set of different basic shuttling operations for dynamic qubit register reconfiguration is described and characterized in detail.

arXiv:1912.04712•Dec 10, 2019•6 citations

Shuttling-based trapped-ion quantum information processing

V. Kaushal, Bjoern Lekitsch, Alexander Stahl +7 more

Moving trapped-ion qubits in a microstructured array of radiofrequency traps offers a route toward realizing scalable quantum processing nodes. Establishing such nodes, providing sufficient functionality to represent a building block for emerging quantum technologies, e.g., a quantum computer or quantum repeater, remains a formidable technological challenge. In this review, the authors present a holistic view on such an architecture, including the relevant components, their characterization, and their impact on the overall system performance. The authors present a hardware architecture based on a uniform linear segmented multilayer trap, controlled by a custom-made fast multichannel arbitrary waveform generator. The latter allows for conducting a set of different ion shuttling operations at sufficient speed and quality. The authors describe the relevant parameters and performance specifications for microstructured ion traps, waveform generators, and additional circuitry, along with suitable measurement schemes to verify the system performance. Furthermore, a set of different basic shuttling operations for a dynamic qubit register reconfiguration is described and characterized in detail.

AVS Quantum Science•Feb 1, 2020•140 citations

Scalable digital hardware for a trapped ion quantum computer

Emily Mount, Daniel Gaultney, Geert Vrijsen +8 more

arXiv:1504.00035•Quantum Information Processing•Sep 29, 2015•24 citations

Low-cost Ultra-low Noise DAC System-on-Module for Scalable Ion-Trap Electrode Control

Mitchell G. Peaks, Mia M. Kaarls, Crystal Noel

A new design for an open-hardware Digital-to-Analog Converter System-on-Module is presented for low-noise ion-trap electrode control. The design specifications were established to fill the technical needs of a modular, scalable DC electrode control platform with sufficient bandwidth, noise characteristics and control flexibility. Critically, a priority was placed on supply-chain management considerations and cost effectiveness for scaling. The system is based upon the Texas Instruments DAC81416 and AMD Xilinx Spartan-7 FPGA for the analog signal and compute architecture respectively. Performance characterization of a prototype device suggests the design is suitable for a variety of ion-trap physics experiments and quantum computing applications.

quant-pharXiv:2605.01132•May 5, 2026•0 citations
Moving trapped-ion qubits in a microstructured array of radiofrequency traps offers a route towards realizing scalable quantum processing nodes. Establishing such nodes, providing sufficient functionality to represent a building block for emerging quantum technologies, e.g. a quantum computer or quantum repeater, remains a formidable technological challenge. In this review, we present a holistic view on such an architecture, including the relevant components, their characterization and their impact on the overall system performance. We present a hardware architecture based on a uniform linear segmented multilayer trap, controlled by a custom-made fast multi-channel arbitrary waveform generator. The latter allows for conducting a set of different ion shuttling operations at sufficient speed and quality. We describe the relevant parameters and performance specifications for microstructured ion traps, waveform generators and additional circuitry, along with suitable measurement schemes to verify the system performance. Furthermore, a set of different basic shuttling operations for dynamic qubit register reconfiguration is described and characterized in detail.
Moving trapped-ion qubits in a microstructured array of radiofrequency traps offers a route toward realizing scalable quantum processing nodes. Establishing such nodes, providing sufficient functionality to represent a building block for emerging quantum technologies, e.g., a quantum computer or quantum repeater, remains a formidable technological challenge. In this review, the authors present a holistic view on such an architecture, including the relevant components, their characterization, and their impact on the overall system performance. The authors present a hardware architecture based on a uniform linear segmented multilayer trap, controlled by a custom-made fast multichannel arbitrary waveform generator. The latter allows for conducting a set of different ion shuttling operations at sufficient speed and quality. The authors describe the relevant parameters and performance specifications for microstructured ion traps, waveform generators, and additional circuitry, along with suitable measurement schemes to verify the system performance. Furthermore, a set of different basic shuttling operations for a dynamic qubit register reconfiguration is described and characterized in detail.
A new design for an open-hardware Digital-to-Analog Converter System-on-Module is presented for low-noise ion-trap electrode control. The design specifications were established to fill the technical needs of a modular, scalable DC electrode control platform with sufficient bandwidth, noise characteristics and control flexibility. Critically, a priority was placed on supply-chain management considerations and cost effectiveness for scaling. The system is based upon the Texas Instruments DAC81416 and AMD Xilinx Spartan-7 FPGA for the analog signal and compute architecture respectively. Performance characterization of a prototype device suggests the design is suitable for a variety of ion-trap physics experiments and quantum computing applications.