Spin-transparent storage rings for quantum computing

Spin-transparent storage rings, where any spin direction repeats after one full turn, can be used in conjunction with ion traps as a new quantum computing platform [1]. Advantages of spin-transparent rings for quantum computing include: large numbers of stored qubits; long quantum coherence times of up to several hours; long storage lifetimes; and room temperature operation. These exceptional qualities mean rings could provide a scalable way to implement algorithms with deep complexity requiring many quantum operations while simultaneously providing a large number of qubits. This new platform where the qubit has long quantum coherence time can also be used as a quantum sensor or a part of a quantum memory.

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Publication Details

Journal
JACOW
Published
2026-01-29
DOI
https://doi.org/10.18429/jacow-napac2025-thp076
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Spin-transparent storage rings for quantum computing

Riad Suleiman, Matt Grau, Vasiliy Morozov
JACOW
Quantum Computing Algorithms and Architecture
article

Spin-transparent storage rings for quantum computing

Riad Suleiman, Matt Grau, Vasiliy Morozov
article en

Abstract

Spin-transparent storage rings, where any spin direction repeats after one full turn, can be used in conjunction with ion traps as a new quantum computing platform [1]. Advantages of spin-transparent rings for quantum computing include: large numbers of stored qubits; long quantum coherence times of up to several hours; long storage lifetimes; and room temperature operation. These exceptional qualities mean rings could provide a scalable way to implement algorithms with deep complexity requiring many quantum operations while simultaneously providing a large number of qubits. This new platform where the qubit has long quantum coherence time can also be used as a quantum sensor or a part of a quantum memory.

JACOW
Affordable and clean energy
Openalex Percentile: Top 75%
Quantum Computing Algorithms and Architecture
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