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

Towards a large scale fully programmable trapped-ion quantum information processor

Chung-You Shih, Nikhil Kotibhaskar, Sainath Motlakunta, Anthony Vogliano, Roland Hablützel, Rajibul Islam

Published Jun 1, 2021• 0 citations
OpenAlex

Related papers

The ion trap quantum information processor

Andrew M. Steane

arXiv:quant-ph/9608011•Applied Physics B•Jun 1, 1997•322 citations

Towards scaling up trapped ion quantum information processing

Dietrich G. Leibfried, D. J. Wineland, R. B. Blakestad +13 more

Hyperfine Interactions•Jan 1, 2007•8 citations

Integrated Optics Technology for Ion Trap Based Large-scale Quantum Information Processor

Jungsang Kim, Changsoon Kim, Caleb W. Knoernschild +2 more

Realizing ion trap based large-scale quantum information processor requires integrated optics technologies. We design and characterize basic optical beam steering system using micromirrors as a first step towards constructing high-quality functional integrated optics.

Frontiers in Optics•Jan 1, 2006•0 citations

Towards scaling up trapped ion quantum information processing

Dietrich G. Leibfried, D. J. Wineland, M. B. Blakestad +13 more

Springer eBooks•Jan 1, 2007•2 citations

System design for large-scale ion trap quantum information processor

Jungsang Kim, Stanley Pau, Z. Ma +7 more

We present a detailed system design and available technology choices for building a large scale ($>$ 100 qubits) ion trap quantum information processor (QIP). The system design is based on technologies that are within reach today, and utilizes single-instruction-on-multiple-data (SIMD) principles to re-use resources that cannot be duplicated easily. The system engineering principles adopted highlight various design tradeoffs in the QIP design and serve as a guideline to find design spaces for a much larger QIP.

Quantum Information and Computation•Nov 1, 2005•87 citations

Chiplet technology for large-scale trapped-ion quantum processors

Bassem Badawi, Philip C. Holz, Michael Raffetseder +6 more

Trapped ions are among the most promising platforms for realizing a large-scale quantum information processor. Current progress focuses on integrating optical and electronic components into microfabricated ion traps to allow scaling to large numbers of ion qubits. Most available fabrication strategies for such integrated processors employ monolithic integration of all processor components and rely heavily on CMOS-compatible semiconductor fabrication technologies that are not optimized for the requirements of a trapped-ion quantum processor. In this work, we present a modular approach in which the processor modules, called chiplets, have specific functions and are fabricated separately. The individual chiplets are then combined using heterogeneous integration techniques. This strategy opens up the possibility of choosing the optimal materials and fabrication technology for each of the chiplets, with a minimum amount of fabrication limitations compared to the monolithic approach. Chiplet technology furthermore enables novel processor functionalities to be added in a cost-effective, modular fashion by adding or modifying only a subset of the chiplets. We describe the design concept of a chiplet-based trapped-ion quantum processor and demonstrate the technology with an example of an integrated individual-ion addressing system for a ten-ion crystal. The addressing system emphasizes the modularity of the chiplet approach, combining a surface ion trap manufactured on a glass substrate with a silicon substrate carrying integrated waveguides and a stack of 3D-printed micro-optics, achieving diffraction-limited focal spots at the ion positions.

quant-pharXiv:2512.02645•Dec 3, 2025•1 citation
We present a detailed system design and available technology choices for building a large scale (>>> 100 qubits) ion trap quantum information processor (QIP). The system design is based on technologies that are within reach today, and utilizes single-instruction-on-multiple-data (SIMD) principles to re-use resources that cannot be duplicated easily. The system engineering principles adopted highlight various design tradeoffs in the QIP design and serve as a guideline to find design spaces for a much larger QIP.
Trapped ions are among the most promising platforms for realizing a large-scale quantum information processor. Current progress focuses on integrating optical and electronic components into microfabricated ion traps to allow scaling to large numbers of ion qubits. Most available fabrication strategies for such integrated processors employ monolithic integration of all processor components and rely heavily on CMOS-compatible semiconductor fabrication technologies that are not optimized for the requirements of a trapped-ion quantum processor. In this work, we present a modular approach in which the processor modules, called chiplets, have specific functions and are fabricated separately. The individual chiplets are then combined using heterogeneous integration techniques. This strategy opens up the possibility of choosing the optimal materials and fabrication technology for each of the chiplets, with a minimum amount of fabrication limitations compared to the monolithic approach. Chiplet technology furthermore enables novel processor functionalities to be added in a cost-effective, modular fashion by adding or modifying only a subset of the chiplets. We describe the design concept of a chiplet-based trapped-ion quantum processor and demonstrate the technology with an example of an integrated individual-ion addressing system for a ten-ion crystal. The addressing system emphasizes the modularity of the chiplet approach, combining a surface ion trap manufactured on a glass substrate with a silicon substrate carrying integrated waveguides and a stack of 3D-printed micro-optics, achieving diffraction-limited focal spots at the ion positions.