Efficient quantum optical storage in rare earth crystals

Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency. We use passive optimization and machine learning techniques to demonstrate more than 6-fold enhancement in quantum memory efficiency. In this regime, we demonstrate coherent and single-photon-level storage with a high signal-to-noise ratio. The optimization technique presented here can be applied to most solid-state quantum memories to significantly improve the storage efficiency without compromising the memory bandwidth.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3044396
Primary Topic
Quantum optics and atomic interactions
Type
article
Field-Weighted Citation Impact
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article

Efficient quantum optical storage in rare earth crystals

Zongfeng Li, Mahdi Hosseini, Yisheng Lei, Trevor Kling
Quantum optics and atomic interactions
article

Efficient quantum optical storage in rare earth crystals

Zongfeng Li, Mahdi Hosseini, Yisheng Lei, Trevor Kling
article en

Abstract

Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency. We use passive optimization and machine learning techniques to demonstrate more than 6-fold enhancement in quantum memory efficiency. In this regime, we demonstrate coherent and single-photon-level storage with a high signal-to-noise ratio. The optimization technique presented here can be applied to most solid-state quantum memories to significantly improve the storage efficiency without compromising the memory bandwidth.

Openalex Percentile: Top 96%
Quantum optics and atomic interactions
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Efficient quantum optical storage in rare earth crystals — Zongfeng Li, Mahdi Hosseini, et al. · (2025) | TGRS Research Map | TGRS